* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘Boom’ ...
** package ‘Boom’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-14 (Debian 14.2.0-8) 14.2.0’
using C++17
make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCqGmxU/R.INSTALL19106c7607b140/Boom/src'
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c boom_r_tools.cpp -o boom_r_tools.o
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::setListNames(SEXP, const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:84:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
84 | if(n != names.size()){
| ~~^~~~~~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::CharacterVector(const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:119:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
119 | for(int i = 0; i < string_vector.size(); ++i){
| ~~^~~~~~~~~~~~~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::appendListElements(SEXP, const std::vector<SEXPREC*>&, const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:161:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<SEXPREC*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
161 | for (int i = 0; i < new_elements.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
boom_r_tools.cpp:166:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
166 | for (int i = 0; i < new_element_names.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::CreateList(const std::vector<SEXPREC*>&, const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:183:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<SEXPREC*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
183 | for (int i = 0; i < elements.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::SetColnames(SEXP, const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:235:22: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
235 | if (names.size() != ncol) {
| ~~~~~~~~~~~~~^~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::SetDimnames(SEXP, const std::vector<std::vector<std::__cxx11::basic_string<char> > >&)’:
boom_r_tools.cpp:263:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
263 | for (int i = 0; i < dim.size(); ++i) {
| ~~^~~~~~~~~~~~
boom_r_tools.cpp:267:32: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} [-Wsign-compare]
267 | if (dimnames[i].size() != dim[i]) {
boom_r_tools.cpp: In function ‘std::vector<int> BOOM::GetArrayDimensions(SEXP)’:
boom_r_tools.cpp:290:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
290 | for (int i = 0; i < dims.size(); ++i) {
| ~~^~~~~~~~~~~~~
boom_r_tools.cpp: In function ‘std::vector<int> BOOM::ToIntVector(SEXP, bool)’:
boom_r_tools.cpp:449:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
449 | for (int i = 0; i < ans.size(); ++i) --ans[i];
| ~~^~~~~~~~~~~~
boom_r_tools.cpp: In function ‘std::vector<BOOM::Date> BOOM::ToBoomDateVector(SEXP)’:
boom_r_tools.cpp:487:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Date>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
487 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::ToRMatrix(const Matrix&, const std::vector<std::__cxx11::basic_string<char> >&, const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:524:46: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
524 | if (!rownames.empty() && rownames.size() != m.nrow()) {
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~
boom_r_tools.cpp:527:53: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
527 | } else if (!colnames.empty() && colnames.size() != m.ncol()) {
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::AllocateArray(const std::vector<int>&)’:
boom_r_tools.cpp:577:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
577 | for (int i = 0; i < array_dimensions.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
boom_r_tools.cpp: In function ‘SEXPREC* BOOM::ToRStringVector(const std::vector<std::__cxx11::basic_string<char> >&)’:
boom_r_tools.cpp:607:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
607 | for (int i = 0; i < string_vector.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
boom_r_tools.cpp: In constructor ‘BOOM::Factor::Factor(SEXP)’:
boom_r_tools.cpp:619:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
619 | for (int i = 0; i < values_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/r_interface/boom_r_tools.hpp:28,
from boom_r_tools.cpp:22:
../inst/include/LinAlg/Array.hpp: In instantiation of ‘BOOM::Array& BOOM::Array::assign(FwdIt, FwdIt) [with FwdIt = BOOM::VectorViewConstIterator]’:
boom_r_tools.cpp:363:17: required from here
363 | ans.assign(v.begin(), v.end());
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/Array.hpp:344:24: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
344 | if (data_.size() != this->size()) {
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c create_mixture_component.cpp -o create_mixture_component.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.hpp:22,
from create_mixture_component.cpp:15:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/PosteriorSamplers/MarkovConjSampler.hpp:23,
from create_mixture_component.cpp:27:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
create_mixture_component.cpp: In member function ‘virtual BOOM::Ptr<BOOM::MixtureComponent> BOOM::RInterface::IndependentMvnMixtureComponentBuilder::Build(SEXP, BOOM::RListIoManager*) const’:
create_mixture_component.cpp:455:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
455 | for (int i = 0; i < sigma_upper_limit.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c create_point_process.cpp -o create_point_process.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c create_poisson_cluster_components.cpp -o create_poisson_cluster_components.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c create_poisson_process.cpp -o create_poisson_process.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c determine_nthreads.cpp -o determine_nthreads.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c extract_mixture_data.cpp -o extract_mixture_data.o
In file included from extract_mixture_data.cpp:8:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
extract_mixture_data.cpp: In member function ‘void BOOM::RInterface::VectorDataExtractor::check_missing(const BOOM::Ptr<BOOM::Data>&) const’:
extract_mixture_data.cpp:149:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
149 | if(number_missing == y.size()){
| ~~~~~~~~~~~~~~~^~~~~~~~~~~
extract_mixture_data.cpp: In member function ‘void BOOM::RInterface::RegressionDataExtractor::check_missing(const BOOM::Ptr<BOOM::Data>&) const’:
extract_mixture_data.cpp:180:47: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
180 | if(missing_response && number_missing == x.size()){
| ~~~~~~~~~~~~~~~^~~~~~~~~~~
extract_mixture_data.cpp: In function ‘std::vector<int> BOOM::RInterface::UnpackKnownDataSource(SEXP)’:
extract_mixture_data.cpp:363:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
363 | for(int j = 0; j < data.size(); ++j){
| ~~^~~~~~~~~~~~~
extract_mixture_data.cpp:372:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
372 | for(int j = 0; j < data.size(); ++j){
| ~~^~~~~~~~~~~~~
extract_mixture_data.cpp: In instantiation of ‘int BOOM::RInterface::{anonymous}::count_missing(const VEC&) [with VEC = BOOM::Vector]’:
extract_mixture_data.cpp:148:43: required from here
148 | int number_missing = count_missing(y);
| ~~~~~~~~~~~~~^~~
extract_mixture_data.cpp:23:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
23 | for(int i = 0; i < v.size(); ++i){
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c handle_exception.cpp -o handle_exception.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c list_io.cpp -o list_io.o
list_io.cpp: In member function ‘SEXPREC* BOOM::RListIoManager::prepare_to_write(int)’:
list_io.cpp:42:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RListIoElement> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
42 | for (int i = 0; i < elements_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::RListIoManager::prepare_to_stream(SEXP)’:
list_io.cpp:56:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RListIoElement> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
56 | for (int i = 0; i < elements_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::RListIoManager::write()’:
list_io.cpp:63:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RListIoElement> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
63 | for (int i = 0; i < elements_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::RListIoManager::stream()’:
list_io.cpp:69:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RListIoElement> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
69 | for (int i = 0; i < elements_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::RListIoManager::advance(int)’:
list_io.cpp:75:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RListIoElement> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
75 | for (int i = 0; i < elements_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual SEXPREC* BOOM::SubordinateModelIoElement::prepare_to_write(int)’:
list_io.cpp:125:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<BOOM::RListIoManager> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
125 | for (int i = 0; i < io_managers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::SubordinateModelIoElement::prepare_to_stream(SEXP)’:
list_io.cpp:137:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<BOOM::RListIoManager> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
137 | for (int i = 0; i < io_managers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::SubordinateModelIoElement::write()’:
list_io.cpp:146:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<BOOM::RListIoManager> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
146 | for (int i = 0; i < io_managers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::SubordinateModelIoElement::stream()’:
list_io.cpp:154:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<BOOM::RListIoManager> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
154 | for (int i = 0; i < io_managers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::SubordinateModelIoElement::advance(int)’:
list_io.cpp:162:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::unique_ptr<BOOM::RListIoManager> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
162 | for (int i = 0; i < io_managers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::MatrixValuedRListIoElement::set_buffer_dimnames(SEXP)’:
list_io.cpp:237:29: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
237 | if (row_names_.size() != nrow()) {
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~
list_io.cpp:247:29: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
247 | if (col_names_.size() != ncol()) {
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::UnivariateCollectionListElement::write()’:
list_io.cpp:456:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
456 | for (int i = 0; i < parameters_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::UnivariateCollectionListElement::stream()’:
list_io.cpp:464:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
464 | for (int i = 0; i < parameters_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::UnivariateCollectionListElement::CheckSize()’:
list_io.cpp:470:30: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
470 | if (matrix_view().ncol() != parameters_.size()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::SdCollectionListElement::write()’:
list_io.cpp:483:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
483 | for (int i = 0; i < parameters().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::SdCollectionListElement::stream()’:
list_io.cpp:491:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
491 | for (int i = 0; i < parameters().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
list_io.cpp: In constructor ‘BOOM::HierarchicalVectorListElement::HierarchicalVectorListElement(const std::vector<BOOM::Ptr<BOOM::VectorParams> >&, const std::string&, const std::vector<std::__cxx11::basic_string<char> >&, const std::vector<std::__cxx11::basic_string<char> >&)’:
list_io.cpp:589:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
589 | for (int i = 0; i < parameters.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::HierarchicalVectorListElement::write()’:
list_io.cpp:616:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
616 | for (int i = 0; i < parameters_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::HierarchicalVectorListElement::stream()’:
list_io.cpp:624:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
624 | for (int i = 0; i < parameters_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
list_io.cpp: In member function ‘void BOOM::HierarchicalVectorListElement::CheckSize()’:
list_io.cpp:631:17: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘const int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
631 | if (dims[1] != parameters_.size() ||
list_io.cpp: In member function ‘virtual void BOOM::RListOfMatricesListElement::write()’:
list_io.cpp:842:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ArrayView>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
842 | for (int layer = 0; layer < views_.size(); ++layer) {
| ~~~~~~^~~~~~~~~~~~~~~
list_io.cpp: In member function ‘virtual void BOOM::RListOfMatricesListElement::stream()’:
list_io.cpp:849:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ArrayView>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
849 | for (int layer = 0; layer < views_.size(); ++layer) {
| ~~~~~~^~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c parse_model_formula.cpp -o parse_model_formula.o
parse_model_formula.cpp: In member function ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ParseSymbol(SEXP) [with EFFECT_GROUP = BOOM::EffectGroup; SEXP = SEXPREC*]’:
parse_model_formula.cpp:118:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
118 | for (int i = 0; i < names_.variable_names_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
parse_model_formula.cpp: In function ‘BOOM::ContextualRowBuilder BOOM::RInterface::ParseContextualModelFormulaRHS(SEXP, SEXP, SEXP, bool)’:
parse_model_formula.cpp:388:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
388 | for (int group = 0; group < factor_effects.size(); ++group) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
parse_model_formula.cpp:391:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
391 | for (int e = 0; e < effects.size(); ++e) {
| ~~^~~~~~~~~~~~~~~~
parse_model_formula.cpp: In function ‘std::vector<int> BOOM::RInterface::ExtractRow(const std::vector<BOOM::Factor>&, int)’:
parse_model_formula.cpp:413:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Factor>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
413 | for (int j = 0; j < factors.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~
In file included from parse_model_formula.cpp:21:
../inst/include/cpputil/make_unique_preserve_order.hpp: In instantiation of ‘std::vector<T> BOOM::make_unique_preserve_order(const std::vector<T>&) [with T = EffectGroup]’:
parse_model_formula.cpp:315:44: required from ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ParseBinaryOperator(SEXP) [with EFFECT_GROUP = BOOM::EffectGroup; SEXP = SEXPREC*]’
315 | return make_unique_preserve_order(lhs_effects);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
parse_model_formula.cpp:349:20: required from ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ExpandFormulaRHS(SEXP) [with EFFECT_GROUP = BOOM::EffectGroup; SEXP = SEXPREC*]’
349 | return ParseBinaryOperator(r_expression);
| ^~~~~~~~~~~~~~~~~~~
parse_model_formula.cpp:367:35: required from here
367 | factory.ExpandFormulaRHS(r_formula_rhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/cpputil/make_unique_preserve_order.hpp:45:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::EffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (int i = 0; i < input.size(); ++i) {
| ~~^~~~~~~~~~~~~~
../inst/include/cpputil/make_unique_preserve_order.hpp: In instantiation of ‘std::vector<T> BOOM::make_unique_preserve_order(const std::vector<T>&) [with T = ContextualEffectGroup]’:
parse_model_formula.cpp:315:44: required from ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ParseBinaryOperator(SEXP) [with EFFECT_GROUP = BOOM::ContextualEffectGroup; SEXP = SEXPREC*]’
315 | return make_unique_preserve_order(lhs_effects);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
parse_model_formula.cpp:349:20: required from ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ExpandFormulaRHS(SEXP) [with EFFECT_GROUP = BOOM::ContextualEffectGroup; SEXP = SEXPREC*]’
349 | return ParseBinaryOperator(r_expression);
| ^~~~~~~~~~~~~~~~~~~
parse_model_formula.cpp:380:35: required from here
380 | factory.ExpandFormulaRHS(r_formula_rhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/cpputil/make_unique_preserve_order.hpp:45:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (int i = 0; i < input.size(); ++i) {
| ~~^~~~~~~~~~~~~~
In member function ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ParseSymbol(SEXP) [with EFFECT_GROUP = BOOM::ContextualEffectGroup]’,
inlined from ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ExpandFormulaRHS(SEXP) [with EFFECT_GROUP = BOOM::ContextualEffectGroup]’ at parse_model_formula.cpp:342:42:
parse_model_formula.cpp:236:20: warning: ‘level_names’ may be used uninitialized [-Wmaybe-uninitialized]
236 | context));
| ^
parse_model_formula.cpp: In member function ‘std::vector<T> BOOM::RInterface::{anonymous}::ExpressionFactory<EFFECT_GROUP>::ExpandFormulaRHS(SEXP) [with EFFECT_GROUP = BOOM::ContextualEffectGroup]’:
parse_model_formula.cpp:168:43: note: ‘level_names’ was declared here
168 | const std::vector<std::string> *level_names;
| ^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c print_R_timestamp.cpp -o print_R_timestamp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c prior_specification.cpp -o prior_specification.o
In file included from prior_specification.cpp:27:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
prior_specification.cpp: In instantiation of ‘void BOOM::RInterface::InitializeSpikeSlabCoefficients(const BOOM::Vector&, const BOOM::Vector&, BOOM::Ptr<BOOM::GlmModel>, BOOM::Ptr<Y>) [with SAMPLER = BOOM::BregVsSampler]’:
prior_specification.cpp:496:38: required from here
496 | InitializeSpikeSlabCoefficients(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
497 | model->Beta(), prior.spike()->prior_inclusion_probabilities(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
498 | model, sampler);
| ~~~~~~~~~~~~~~~
prior_specification.cpp:468:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
468 | for (int i = 0; i < initial_beta.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seed_rng_from_R.cpp -o seed_rng_from_R.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spike_slab_prior.cpp -o spike_slab_prior.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sufstats.cpp -o sufstats.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/Bart.cpp -o Models/Bart/Bart.o
Models/Bart/Bart.cpp: In member function ‘void BOOM::Bart::VariableSummary::finalize(int, BOOM::Bart::ContinuousCutpointStrategy)’:
Models/Bart/Bart.cpp:105:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
105 | if (number_of_unique_values < observed_values_.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Bart/Bart.cpp:112:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
112 | if (number_of_unique_values < observed_values_.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Bart/Bart.cpp:125:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
125 | if (number_of_unique_values < observed_values_.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘void BOOM::Bart::TreeNode::refresh_subtree_data()’:
Models/Bart/Bart.cpp:726:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Bart::ResidualRegressionData*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
726 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘const BOOM::Bart::SufficientStatisticsBase& BOOM::Bart::TreeNode::compute_suf()’:
Models/Bart/Bart.cpp:744:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Bart::ResidualRegressionData*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
744 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘void BOOM::Bart::TreeNode::remove_mean_effect()’:
Models/Bart/Bart.cpp:757:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Bart::ResidualRegressionData*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
757 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘void BOOM::Bart::TreeNode::replace_mean_effect()’:
Models/Bart/Bart.cpp:764:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Bart::ResidualRegressionData*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
764 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In copy constructor ‘BOOM::BartModelBase::BartModelBase(const BOOM::BartModelBase&)’:
Models/Bart/Bart.cpp:1122:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::Tree> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1122 | for (int i = 0; i < trees_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘double BOOM::BartModelBase::predict(const BOOM::ConstVectorView&) const’:
Models/Bart/Bart.cpp:1140:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::Tree> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1140 | for (int i = 0; i < trees_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘void BOOM::BartModelBase::set_variable_summaries(const std::vector<BOOM::Bart::SerializedVariableSummary>&)’:
Models/Bart/Bart.cpp:1203:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Bart::SerializedVariableSummary>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1203 | for (int i = 0; i < serialized.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘BOOM::Bart::Tree* BOOM::BartModelBase::random_stump(BOOM::RNG&)’:
Models/Bart/Bart.cpp:1239:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::Tree> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1239 | for (int i = 0; i < trees_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/Bart/Bart.cpp: In member function ‘void BOOM::BartModelBase::check_variable_dimension(int)’:
Models/Bart/Bart.cpp:1287:38: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Bart::VariableSummary>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
1287 | if (variable_summaries_.size() != dim) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
Models/Bart/Bart.cpp: In member function ‘void BOOM::BartModelBase::remove_trees(int)’:
Models/Bart/Bart.cpp:1310:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::Tree> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1310 | if (number_of_trees_to_remove >= trees_.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/GaussianBartModel.cpp -o Models/Bart/GaussianBartModel.o
Models/Bart/GaussianBartModel.cpp: In constructor ‘BOOM::GaussianBartModel::GaussianBartModel(int, const BOOM::Vector&, const BOOM::Matrix&)’:
Models/Bart/GaussianBartModel.cpp:32:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
32 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/GaussianLinearBartModel.cpp -o Models/Bart/GaussianLinearBartModel.o
Models/Bart/GaussianLinearBartModel.cpp: In constructor ‘BOOM::GaussianLinearBartModel::GaussianLinearBartModel(int, const BOOM::Vector&, const BOOM::Matrix&)’:
Models/Bart/GaussianLinearBartModel.cpp:36:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
36 | if (y.size() != x.nrow()) {
| ~~~~~~~~~^~~~~~~~~~~
Models/Bart/GaussianLinearBartModel.cpp:46:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/LogitBartModel.cpp -o Models/Bart/LogitBartModel.o
Models/Bart/LogitBartModel.cpp: In constructor ‘BOOM::LogitBartModel::LogitBartModel(int, const std::vector<int>&, const std::vector<int>&, const BOOM::Matrix&)’:
Models/Bart/LogitBartModel.cpp:33:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
33 | if (n != trials.size()) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PoissonBartModel.cpp -o Models/Bart/PoissonBartModel.o
Models/Bart/PoissonBartModel.cpp: In constructor ‘BOOM::PoissonBartModel::PoissonBartModel(int, const std::vector<int>&, const BOOM::Matrix&)’:
Models/Bart/PoissonBartModel.cpp:40:26: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
40 | if (responses.size() != nrow(predictors)) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Models/Bart/PoissonBartModel.cpp:47:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | for (int i = 0; i < responses.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/Bart/PoissonBartModel.cpp: In constructor ‘BOOM::PoissonBartModel::PoissonBartModel(int, const std::vector<int>&, const std::vector<double>&, const BOOM::Matrix&)’:
Models/Bart/PoissonBartModel.cpp:60:26: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
60 | if (responses.size() != nrow(predictors)) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Models/Bart/PoissonBartModel.cpp:77:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
77 | for (int i = 0; i < responses.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/Bart/PoissonBartModel.cpp:88:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
88 | for (int i = 0; i < responses.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/ProbitBartModel.cpp -o Models/Bart/ProbitBartModel.o
Models/Bart/ProbitBartModel.cpp: In constructor ‘BOOM::ProbitBartModel::ProbitBartModel(int, const std::vector<int>&, const std::vector<int>&, const BOOM::Matrix&)’:
Models/Bart/ProbitBartModel.cpp:34:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
34 | if (n != trials.size()) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/ResidualRegressionData.cpp -o Models/Bart/ResidualRegressionData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PosteriorSamplers/BartPosteriorSampler.cpp -o Models/Bart/PosteriorSamplers/BartPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.cpp -o Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.o
Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.cpp: In member function ‘const std::vector<const BOOM::Bart::GaussianResidualRegressionData*> BOOM::GaussianBartPosteriorSampler::residuals() const’:
Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.cpp:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::GaussianResidualRegressionData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < residuals_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.cpp -o Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.o
Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.cpp: In member function ‘void BOOM::GaussianLinearBartPosteriorSampler::adjust_regression_residuals()’:
Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.cpp:79:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > >, std::allocator<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
79 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.cpp: In member function ‘void BOOM::GaussianLinearBartPosteriorSampler::adjust_bart_residuals()’:
Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.cpp:101:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > >, std::allocator<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
101 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PosteriorSamplers/LogitBartPosteriorSampler.cpp -o Models/Bart/PosteriorSamplers/LogitBartPosteriorSampler.o
Models/Bart/PosteriorSamplers/LogitBartPosteriorSampler.cpp: In member function ‘void BOOM::LogitBartPosteriorSampler::impute_latent_data()’:
Models/Bart/PosteriorSamplers/LogitBartPosteriorSampler.cpp:332:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::LogitResidualData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
332 | for (int i = 0; i < residuals_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PosteriorSamplers/PoissonBartPosteriorSampler.cpp -o Models/Bart/PosteriorSamplers/PoissonBartPosteriorSampler.o
Models/Bart/PosteriorSamplers/PoissonBartPosteriorSampler.cpp: In member function ‘void BOOM::PoissonBartPosteriorSampler::impute_latent_data()’:
Models/Bart/PosteriorSamplers/PoissonBartPosteriorSampler.cpp:236:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::PoissonResidualRegressionData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
236 | for (int i = 0; i < residuals_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Bart/PosteriorSamplers/ProbitBartPosteriorSampler.cpp -o Models/Bart/PosteriorSamplers/ProbitBartPosteriorSampler.o
Models/Bart/PosteriorSamplers/ProbitBartPosteriorSampler.cpp: In member function ‘void BOOM::ProbitBartPosteriorSampler::impute_latent_data()’:
Models/Bart/PosteriorSamplers/ProbitBartPosteriorSampler.cpp:189:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::shared_ptr<BOOM::Bart::ProbitResidualData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for (int i = 0; i < residuals_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/BinomialDistribution.cpp -o distributions/BinomialDistribution.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/BoundedAdaptiveRejectionSampler.cpp -o distributions/BoundedAdaptiveRejectionSampler.o
distributions/BoundedAdaptiveRejectionSampler.cpp: In function ‘std::ostream& BOOM::{anonymous}::operator<<(std::ostream&, const std::vector<double>&)’:
distributions/BoundedAdaptiveRejectionSampler.cpp:32:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
32 | for (int i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
distributions/BoundedAdaptiveRejectionSampler.cpp: In member function ‘void BOOM::BoundedAdaptiveRejectionSampler::refresh_knots()’:
distributions/BoundedAdaptiveRejectionSampler.cpp:91:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
91 | for (uint i = 1; i < knots_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
distributions/BoundedAdaptiveRejectionSampler.cpp: In member function ‘void BOOM::BoundedAdaptiveRejectionSampler::update_cdf()’:
distributions/BoundedAdaptiveRejectionSampler.cpp:127:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
127 | for (uint k = 0; k < knots_.size(); ++k) {
| ~~^~~~~~~~~~~~~~~
distributions/BoundedAdaptiveRejectionSampler.cpp: In member function ‘double BOOM::BoundedAdaptiveRejectionSampler::draw_safely(BOOM::RNG&, int)’:
distributions/BoundedAdaptiveRejectionSampler.cpp:164:15: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
164 | if (k + 1 == cdf_.size()) {
| ~~~~~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/DoublyBoundedAdaptiveRejectionSampler.cpp -o distributions/DoublyBoundedAdaptiveRejectionSampler.o
distributions/DoublyBoundedAdaptiveRejectionSampler.cpp: In member function ‘void BOOM::DoublyBoundedAdaptiveRejectionSampler::refresh_knots()’:
distributions/DoublyBoundedAdaptiveRejectionSampler.cpp:87:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
87 | for (uint i = 1; i < knots.size() - 1; ++i) knots[i] = compute_knot(i);
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/Markov.cpp -o distributions/Markov.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/Rmath_dist.cpp -o distributions/Rmath_dist.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/Tn2Sampler.cpp -o distributions/Tn2Sampler.o
distributions/Tn2Sampler.cpp: In member function ‘void BOOM::Tn2Sampler::refresh_knots()’:
distributions/Tn2Sampler.cpp:85:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
85 | for (uint i = 1; i < knots.size() - 1; ++i) knots[i] = compute_knot(i);
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/Wishart.cpp -o distributions/Wishart.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/dirichlet.cpp -o distributions/dirichlet.o
distributions/dirichlet.cpp: In instantiation of ‘double BOOM::{anonymous}::ddirichlet_impl(const V1&, const V2&, bool) [with V1 = BOOM::Vector; V2 = BOOM::Vector]’:
distributions/dirichlet.cpp:149:27: required from here
149 | return ddirichlet_impl(x, nu, logscale);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
distributions/dirichlet.cpp:101:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
101 | for (uint i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
distributions/dirichlet.cpp: In instantiation of ‘double BOOM::{anonymous}::ddirichlet_impl(const V1&, const V2&, bool) [with V1 = BOOM::Vector; V2 = BOOM::VectorView]’:
distributions/dirichlet.cpp:155:27: required from here
155 | return ddirichlet_impl(x, nu, logscale);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
distributions/dirichlet.cpp:101:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
101 | for (uint i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
distributions/dirichlet.cpp: In instantiation of ‘double BOOM::{anonymous}::ddirichlet_impl(const V1&, const V2&, bool) [with V1 = BOOM::Vector; V2 = BOOM::ConstVectorView]’:
distributions/dirichlet.cpp:165:27: required from here
165 | return ddirichlet_impl(x, nu, logscale);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
distributions/dirichlet.cpp:101:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
101 | for (uint i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/extreme_value.cpp -o distributions/extreme_value.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/gig.cpp -o distributions/gig.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/inverse_gaussian.cpp -o distributions/inverse_gaussian.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/matrix_normal.cpp -o distributions/matrix_normal.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/mvn.cpp -o distributions/mvn.o
distributions/mvn.cpp: In function ‘BOOM::Vector BOOM::rmvn_mt(RNG&, const Vector&, const DiagonalMatrix&)’:
distributions/mvn.cpp:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
90 | for (int i = 0; i < mu.size(); ++i) {
| ~~^~~~~~~~~~~
distributions/mvn.cpp: In function ‘BOOM::Vector& BOOM::impute_mvn(Vector&, const Vector&, const SpdMatrix&, const Selector&, RNG&)’:
distributions/mvn.cpp:150:28: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
150 | if (observation.size() != observed.nvars_possible()) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/mvt.cpp -o distributions/mvt.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/random_cor.cpp -o distributions/random_cor.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/random_int.cpp -o distributions/random_int.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/rlexp.cpp -o distributions/rlexp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/rmulti.cpp -o distributions/rmulti.o
distributions/rmulti.cpp: In function ‘std::vector<int> BOOM::rmulti_vector_mt(RNG&, int, const Vector&)’:
distributions/rmulti.cpp:107:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
107 | for (int i = 1; i < probs.size(); ++i) {
| ~~^~~~~~~~~~~~~~
distributions/rmulti.cpp:127:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
127 | for (int j = 0; j < probs.size(); ++j) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/rng.cpp -o distributions/rng.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/rtriangle.cpp -o distributions/rtriangle.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/student_fix.cpp -o distributions/student_fix.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/trun_exp.cpp -o distributions/trun_exp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/trun_gamma.cpp -o distributions/trun_gamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/trun_logit.cpp -o distributions/trun_logit.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/trun_norm.cpp -o distributions/trun_norm.o
distributions/trun_norm.cpp: In function ‘std::ostream& BOOM::{anonymous}::operator<<(std::ostream&, const std::vector<double>&)’:
distributions/trun_norm.cpp:95:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
95 | for (uint i = 0; i < v.size(); ++i) out << v[i] << " ";
| ~~^~~~~~~~~~
distributions/trun_norm.cpp: In member function ‘void BOOM::TnSampler::refresh_knots()’:
distributions/trun_norm.cpp:147:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
147 | for (uint i = 1; i < knots.size(); ++i) knots[i] = compute_knot(i);
| ~~^~~~~~~~~~~~~~
distributions/trun_norm.cpp: In member function ‘void BOOM::TnSampler::update_cdf()’:
distributions/trun_norm.cpp:188:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
188 | for (uint k = 0; k < knots.size(); ++k) {
| ~~^~~~~~~~~~~~~~
distributions/trun_norm.cpp: In member function ‘double BOOM::TnSampler::draw(BOOM::RNG&)’:
distributions/trun_norm.cpp:213:15: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
213 | if (k + 1 == cdf.size()) {
| ~~~~~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions/usp.cpp -o distributions/usp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/AggregatedRegressionModel.cpp -o Models/Glm/AggregatedRegressionModel.o
Models/Glm/AggregatedRegressionModel.cpp: In member function ‘virtual std::ostream& BOOM::Agreg::Group::display(std::ostream&) const’:
Models/Glm/AggregatedRegressionModel.cpp:54:22: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
54 | if (x.size() != p) {
| ~~~~~~~~~^~~~
Models/Glm/AggregatedRegressionModel.cpp: In member function ‘void BOOM::Agreg::Group::distribute_total(const BOOM::Vector&, double)’:
Models/Glm/AggregatedRegressionModel.cpp:89:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
89 | for (int i = 0; i < unit_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp: In member function ‘void BOOM::Agreg::Group::initialize_unit_values()’:
Models/Glm/AggregatedRegressionModel.cpp:195:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
195 | for (int i = 0; i < unit_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp: In member function ‘void BOOM::AggregatedRegressionModel::initialize_groups(const BOOM::Matrix&, const std::vector<std::__cxx11::basic_string<char> >&, const BOOM::Vector&)’:
Models/Glm/AggregatedRegressionModel.cpp:238:17: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
238 | if (nrow(X) != group_names.size() || nrow(X) != group_values.size()) {
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp:238:50: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
238 | if (nrow(X) != group_names.size() || nrow(X) != group_values.size()) {
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp:248:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
248 | for (int i = 0; i < group_names.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp:256:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Agreg::Group>, std::allocator<BOOM::Ptr<BOOM::Agreg::Group> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
256 | for (int i = 0; i < dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp: In member function ‘void BOOM::AggregatedRegressionModel::distribute_group_totals()’:
Models/Glm/AggregatedRegressionModel.cpp:281:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Agreg::Group>, std::allocator<BOOM::Ptr<BOOM::Agreg::Group> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
281 | for (int i = 0; i < dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Glm/AggregatedRegressionModel.cpp: In member function ‘void BOOM::AggregatedRegressionModel::refresh_suf()’:
Models/Glm/AggregatedRegressionModel.cpp:291:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
291 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/BinomialLogitModel.cpp -o Models/Glm/BinomialLogitModel.o
Models/Glm/BinomialLogitModel.cpp: In member function ‘virtual double BOOM::BinomialLogitModel::log_likelihood(const BOOM::Vector&, BOOM::Vector*, BOOM::Matrix*, bool) const’:
Models/Glm/BinomialLogitModel.cpp:158:46: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
158 | bool all_coefficients_included = (xdim() == beta.size());
| ~~~~~~~^~~~~~~~~~~~~~
Models/Glm/BinomialLogitModel.cpp:160:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
160 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/BinomialProbitModel.cpp -o Models/Glm/BinomialProbitModel.o
Models/Glm/BinomialProbitModel.cpp: In member function ‘virtual double BOOM::BinomialProbitModel::log_likelihood(const BOOM::Vector&, BOOM::Vector*, BOOM::Matrix*, bool) const’:
Models/Glm/BinomialProbitModel.cpp:152:46: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
152 | bool all_coefficients_included = (xdim() == beta.size());
| ~~~~~~~^~~~~~~~~~~~~~
Models/Glm/BinomialProbitModel.cpp:154:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
154 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/BinomialRegressionData.cpp -o Models/Glm/BinomialRegressionData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/ChoiceData.cpp -o Models/Glm/ChoiceData.o
Models/Glm/ChoiceData.cpp: In member function ‘virtual std::ostream& BOOM::ChoiceData::display(std::ostream&) const’:
Models/Glm/ChoiceData.cpp:60:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
60 | for (uint i = 0; i < xchoice_.size(); ++i) out << Xchoice(i) << " ";
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/GammaRegressionModel.cpp -o Models/Glm/GammaRegressionModel.o
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/Glm/GammaRegressionModel.hpp:22,
from Models/Glm/GammaRegressionModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::GammaRegressionConditionalSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::GammaRegressionConditionalSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Glm/GammaRegressionModel.hpp:166:9: required from here
166 | class GammaRegressionModelConditionalSuf
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > >, std::allocator<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/Glm.cpp -o Models/Glm/Glm.o
Models/Glm/Glm.cpp: In member function ‘void BOOM::GlmBaseData::set_x(const BOOM::Vector&, bool)’:
Models/Glm/Glm.cpp:39:32: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | if (allow_any || x_->dim() == X.size()) {
| ~~~~~~~~~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/GlmCoefs.cpp -o Models/Glm/GlmCoefs.o
Models/Glm/GlmCoefs.cpp: In member function ‘void BOOM::GlmCoefs::set_included_coefficients(const BOOM::Vector&)’:
Models/Glm/GlmCoefs.cpp:199:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
199 | if (b.size() != nvars()) wrong_size_beta(b);
| ~~~~~~~~~^~~~~~~~~~
Models/Glm/GlmCoefs.cpp: In member function ‘void BOOM::GlmCoefs::set_Beta(const BOOM::Vector&)’:
Models/Glm/GlmCoefs.cpp:230:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
230 | if (tmp.size() != nvars_possible()) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/HierarchicalPoissonRegression.cpp -o Models/Glm/HierarchicalPoissonRegression.o
Models/Glm/HierarchicalPoissonRegression.cpp: In copy constructor ‘BOOM::HierarchicalPoissonRegressionModel::HierarchicalPoissonRegressionModel(const BOOM::HierarchicalPoissonRegressionModel&)’:
Models/Glm/HierarchicalPoissonRegression.cpp:37:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
37 | for (int i = 0; i < rhs.data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/HierarchicalPoissonRegression.cpp: In member function ‘virtual void BOOM::HierarchicalPoissonRegressionModel::clear_data()’:
Models/Glm/HierarchicalPoissonRegression.cpp:65:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
65 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/LogisticRegressionModel.cpp -o Models/Glm/LogisticRegressionModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/LoglinearModel.cpp -o Models/Glm/LoglinearModel.o
In file included from ../inst/include/Models/Glm/LoglinearModel.hpp:35,
from Models/Glm/LoglinearModel.cpp:23:
../inst/include/stats/Encoders.hpp: In member function ‘virtual void BOOM::InteractionEncoder::encode_row(const BOOM::MixedMultivariateData&, BOOM::VectorView) const’:
../inst/include/stats/Encoders.hpp:123:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
123 | for (int i = 0; i < wsp1_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
../inst/include/stats/Encoders.hpp:124:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
124 | for (int j = 0; j < wsp2_.size(); ++j) {
| ~~^~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In member function ‘std::vector<int> BOOM::MultivariateCategoricalData::to_vector() const’:
Models/Glm/LoglinearModel.cpp:75:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::CategoricalData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
75 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In member function ‘virtual void BOOM::LoglinearModelSuf::Update(const BOOM::{anonymous}::MCD&)’:
Models/Glm/LoglinearModel.cpp:301:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
301 | for (int j = 0; j < index.size(); ++j) {
| ~~^~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In constructor ‘BOOM::LoglinearModel::LoglinearModel(const BOOM::DataTable&)’:
Models/Glm/LoglinearModel.cpp:364:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
364 | for (size_t i = 0; i < table.nrow(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In member function ‘void BOOM::LoglinearModel::add_interaction(const std::vector<int>&)’:
Models/Glm/LoglinearModel.cpp:404:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
404 | for (int i = 0; i < vars.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp:405:34: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type’ {aka ‘int’} and ‘std::vector<BOOM::Ptr<BOOM::CategoricalMainEffect> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
405 | if (vars[i] < 0 || vars[i] >= main_effects_.size()) {
Models/Glm/LoglinearModel.cpp:415:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
415 | for (int i = 2; i < vars.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In member function ‘void BOOM::LoglinearModel::set_effect_coefficients(const BOOM::Vector&, int)’:
Models/Glm/LoglinearModel.cpp:433:29: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
433 | if (coefficients.size() != enc.dim()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::encode_variable(const DATA&, const std::vector<BOOM::Ptr<BOOM::CategoricalDataEncoder> >&, int, bool) [with DATA = BOOM::MultivariateCategoricalData]’:
Models/Glm/LoglinearModel.cpp:215:27: required from here
215 | return encode_variable(data, encoders_, dim(), add_intercept_);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp:203:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::CategoricalDataEncoder> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
203 | for (int i = 0; i < encoders.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::encode_variable(const DATA&, const std::vector<BOOM::Ptr<BOOM::CategoricalDataEncoder> >&, int, bool) [with DATA = std::vector<int>]’:
Models/Glm/LoglinearModel.cpp:219:27: required from here
219 | return encode_variable(data, encoders_, dim(), add_intercept_);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/LoglinearModel.cpp:203:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::CategoricalDataEncoder> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
203 | for (int i = 0; i < encoders.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/Glm/LoglinearModel.hpp:27:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::MultivariateCategoricalData; S = BOOM::LoglinearModelSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::MultivariateCategoricalData; S = BOOM::LoglinearModelSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Glm/LoglinearModel.hpp:309:9: required from here
309 | class LoglinearModel
| ^~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::MultivariateCategoricalData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/MultinomialLogitModel.cpp -o Models/Glm/MultinomialLogitModel.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp:26,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS.hpp:23,
from Models/Glm/MultinomialLogitModel.cpp:24:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/MultinomialLogitModel.cpp: In constructor ‘BOOM::MultinomialLogitModel::MultinomialLogitModel(const std::vector<BOOM::Ptr<BOOM::CategoricalData> >&, const BOOM::Matrix&, const std::vector<BOOM::Matrix>&)’:
Models/Glm/MultinomialLogitModel.cpp:65:45: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
65 | (!Xchoice.empty() && Xchoice.size() != n)) {
| ~~~~~~~~~~~~~~~^~~~
Models/Glm/MultinomialLogitModel.cpp: In member function ‘double BOOM::MultinomialLogitModel::log_likelihood(const BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, int) const’:
Models/Glm/MultinomialLogitModel.cpp:193:53: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
193 | bool downsampling = log_sampling_probs().size() == Nchoices();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/MultinomialProbitModel.cpp -o Models/Glm/MultinomialProbitModel.o
Models/Glm/MultinomialProbitModel.cpp: In constructor ‘BOOM::MultinomialProbitModel::MultinomialProbitModel(const std::vector<BOOM::Ptr<BOOM::ChoiceData>, std::allocator<BOOM::Ptr<BOOM::ChoiceData> > >&)’:
Models/Glm/MultinomialProbitModel.cpp:54:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::ChoiceData>, std::allocator<BOOM::Ptr<BOOM::ChoiceData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
54 | for (uint i = 0; i < d.size(); ++i) add_data(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/MultivariateRegression.cpp -o Models/Glm/MultivariateRegression.o
In file included from ../inst/include/Models/Glm/MultivariateRegression.hpp:25,
from Models/Glm/MultivariateRegression.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::GlmData<BOOM::VectorData>; S = BOOM::MvRegSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::GlmData<BOOM::VectorData>; S = BOOM::MvRegSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Glm/MultivariateRegression.hpp:162:5: required from here
162 | MultivariateRegressionModel(
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::VectorData> >, std::allocator<BOOM::Ptr<BOOM::GlmData<BOOM::VectorData> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/MvnGivenX.cpp -o Models/Glm/MvnGivenX.o
Models/Glm/MvnGivenX.cpp: In member function ‘void BOOM::MvnGivenXMultinomialLogit::set_x(const BOOM::Matrix&, const std::vector<BOOM::Matrix>&, int)’:
Models/Glm/MvnGivenX.cpp:256:39: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
256 | choice_characteristics.size() != nrow(subject_characeristics)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/MvtRegModel.cpp -o Models/Glm/MvtRegModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/OrdinalCutpointModel.cpp -o Models/Glm/OrdinalCutpointModel.o
Models/Glm/OrdinalCutpointModel.cpp: In function ‘double BOOM::{anonymous}::compute_upper_cutpoint(int, const BOOM::Vector&)’:
Models/Glm/OrdinalCutpointModel.cpp:47:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | } else if (y <= cutpoint_vector.size()) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp: In function ‘double BOOM::{anonymous}::compute_lower_cutpoint(int, const BOOM::Vector&)’:
Models/Glm/OrdinalCutpointModel.cpp:60:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
60 | } else if (y - 1 <= cutpoint_vector.size()) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp: In function ‘BOOM::Vector BOOM::{anonymous}::make_default_cutpoint_vector(BOOM::uint)’:
Models/Glm/OrdinalCutpointModel.cpp:70:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
70 | for (int i = 0; i < cutpoints.size(); ++i) cutpoints[i] = i + 1;
| ~~^~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp: In member function ‘bool BOOM::OrdinalCutpointModel::check_cutpoints(const BOOM::Vector&) const’:
Models/Glm/OrdinalCutpointModel.cpp:157:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
157 | for (uint i = 1; i < d.size(); ++i) {
| ~~^~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp: In member function ‘BOOM::Ptr<BOOM::GlmData<BOOM::OrdinalData> > BOOM::OrdinalCutpointModel::sim(BOOM::RNG&)’:
Models/Glm/OrdinalCutpointModel.cpp:214:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
214 | for (int i = 1; i < x.size(); ++i) {
| ~~^~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp: In member function ‘double BOOM::OrdinalCutpointModel::full_loglike(const BOOM::Vector&, const BOOM::Vector&, BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, BOOM::Matrix&, BOOM::Matrix&, BOOM::uint, bool, bool) const’:
Models/Glm/OrdinalCutpointModel.cpp:277:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::OrdinalData> >, std::allocator<BOOM::Ptr<BOOM::GlmData<BOOM::OrdinalData> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
277 | for (uint i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp:326:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
326 | && upper_cutpoint_index < cutpoints.size()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp:330:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
330 | && lower_cutpoint_index < cutpoint_gradient.size()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp:356:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
356 | && upper_cutpoint_index < cutpoints.size();
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp:358:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
358 | && lower_cutpoint_index < cutpoints.size();
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp: In member function ‘void BOOM::OrdinalCutpointModel::initialize_params(const BOOM::Vector&)’:
Models/Glm/OrdinalCutpointModel.cpp:454:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
454 | if (counts.size() != nlevels()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
Models/Glm/OrdinalCutpointModel.cpp:469:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
469 | for (uint i = 1; i < cutpoint_vector.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PoissonRegressionData.cpp -o Models/Glm/PoissonRegressionData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PoissonRegressionModel.cpp -o Models/Glm/PoissonRegressionModel.o
Models/Glm/PoissonRegressionModel.cpp: In member function ‘double BOOM::PoissonRegressionModel::log_likelihood(const BOOM::Vector&, BOOM::Vector*, BOOM::Matrix*, bool) const’:
Models/Glm/PoissonRegressionModel.cpp:68:21: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
68 | if (beta.size() != nvars) {
| ~~~~~~~~~~~~^~~~~~~~
Models/Glm/PoissonRegressionModel.cpp:77:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::PoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
77 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/ProbitRegression.cpp -o Models/Glm/ProbitRegression.o
Models/Glm/ProbitRegression.cpp: In member function ‘double BOOM::ProbitRegressionModel::log_likelihood(const BOOM::Vector&, BOOM::Vector*, BOOM::Matrix*, bool) const’:
Models/Glm/ProbitRegression.cpp:87:21: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
87 | if (beta.size() != beta_dim) {
| ~~~~~~~~~~~~^~~~~~~~~~~
Models/Glm/ProbitRegression.cpp: In member function ‘BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<bool> > > BOOM::ProbitRegressionModel::sim(BOOM::RNG&) const’:
Models/Glm/ProbitRegression.cpp:150:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
150 | for (int i = 1; i < x.size(); ++i) x[i] = rnorm_mt(rng);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/QuantileRegressionModel.cpp -o Models/Glm/QuantileRegressionModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/RegressionModel.cpp -o Models/Glm/RegressionModel.o
Models/Glm/RegressionModel.cpp: In constructor ‘BOOM::NeRegSuf::NeRegSuf(const BOOM::Matrix&, const BOOM::Vector&)’:
Models/Glm/RegressionModel.cpp:317:18: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
317 | if (X.nrow() != y.size()) {
| ~~~~~~~~~^~~~~~~~~~~
Models/Glm/RegressionModel.cpp: In constructor ‘BOOM::NeRegSuf::NeRegSuf(const BOOM::SpdMatrix&, const BOOM::Vector&, double, double, double, const BOOM::Vector&)’:
Models/Glm/RegressionModel.cpp:341:20: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
341 | if (XTX.nrow() != XTY.size() || XTY.size() != xbar.size()) {
| ~~~~~~~~~~~^~~~~~~~~~~~~
Models/Glm/RegressionModel.cpp: In member function ‘void BOOM::BigRegressionModel::stream_data_for_initial_screen(const BOOM::RegressionData&)’:
Models/Glm/RegressionModel.cpp:786:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::RegressionModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
786 | for (uint m = 0; m < subordinate_models_.size(); ++m) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/Glm/RegressionModel.hpp:33,
from Models/Glm/RegressionModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::RegSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:94:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::Ptr<P2>&, const DatasetType&) [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::RegSuf; DatasetType = std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >]’
94 | refresh_suf();
| ^~~~~~~~~~~
Models/Glm/RegressionModel.cpp:513:20: required from here
513 | : DPBase(s, d) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/RegressionSlabPrior.cpp -o Models/Glm/RegressionSlabPrior.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/TRegression.cpp -o Models/Glm/TRegression.o
Models/Glm/TRegression.cpp: In constructor ‘BOOM::TRegressionModel::TRegressionModel(const BOOM::Matrix&, const BOOM::Vector&)’:
Models/Glm/TRegression.cpp:46:18: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | if (X.nrow() != y.size()) {
| ~~~~~~~~~^~~~~~~~~~~
Models/Glm/TRegression.cpp:49:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
49 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
Models/Glm/TRegression.cpp: In member function ‘double BOOM::TRegressionModel::log_likelihood(const BOOM::Vector&, double, double) const’:
Models/Glm/TRegression.cpp:81:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
81 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Glm/TRegression.cpp: In member function ‘virtual double BOOM::TRegressionModel::Loglike(const BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, BOOM::uint) const’:
Models/Glm/TRegression.cpp:102:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
102 | for (uint i = 0; i < dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Glm/TRegression.cpp: In member function ‘void BOOM::TRegressionModel::EStep(BOOM::WeightedRegSuf&) const’:
Models/Glm/TRegression.cpp:209:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
209 | for (uint i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/VariableSelectionPrior.cpp -o Models/Glm/VariableSelectionPrior.o
Models/Glm/VariableSelectionPrior.cpp: In member function ‘virtual void BOOM::ModelSelection::Interaction::make_valid(BOOM::Selector&) const’:
Models/Glm/VariableSelectionPrior.cpp:159:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
159 | for (int i = 0; i < parent_pos_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/Glm/VariableSelectionPrior.cpp: In member function ‘virtual void BOOM::VariableSelectionPrior::make_valid(BOOM::Selector&) const’:
Models/Glm/VariableSelectionPrior.cpp:283:30: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
283 | if (inc.nvars_possible() != probs.size()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
Models/Glm/VariableSelectionPrior.cpp:286:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
286 | for (int i = 0; i < probs.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/Glm/VariableSelectionPrior.cpp: In member function ‘void BOOM::StructuredVariableSelectionPrior::check_size_eq(BOOM::uint, const std::string&) const’:
Models/Glm/VariableSelectionPrior.cpp:350:22: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::ModelSelection::Variable> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
350 | if (vars_.size() == n) return;
| ~~~~~~~~~~~~~^~~~
Models/Glm/VariableSelectionPrior.cpp: In member function ‘void BOOM::StructuredVariableSelectionPrior::check_size_gt(BOOM::uint, const std::string&) const’:
Models/Glm/VariableSelectionPrior.cpp:359:22: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::ModelSelection::Variable> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
359 | if (vars_.size() > n) return;
| ~~~~~~~~~~~~~^~~
Models/Glm/VariableSelectionPrior.cpp: In member function ‘BOOM::Vector BOOM::StructuredVariableSelectionPrior::prior_inclusion_probabilities() const’:
Models/Glm/VariableSelectionPrior.cpp:380:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
380 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from ../inst/include/Models/BinomialModel.hpp:27,
from ../inst/include/Models/Glm/ModelSelectionConcepts.hpp:23,
from ../inst/include/Models/Glm/VariableSelectionPrior.hpp:25,
from Models/Glm/VariableSelectionPrior.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::GlmCoefs; S = BOOM::VariableSelectionSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::GlmCoefs; S = BOOM::VariableSelectionSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/Glm/VariableSelectionPrior.cpp:340:46: required from here
340 | pi_(new VectorParams(rhs.pi_->size())) {
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmCoefs>, std::allocator<BOOM::Ptr<BOOM::GlmCoefs> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/WeightedRegressionModel.cpp -o Models/Glm/WeightedRegressionModel.o
Models/Glm/WeightedRegressionModel.cpp: In member function ‘virtual void BOOM::WeightedRegSuf::recompute(const std::vector<BOOM::Ptr<BOOM::WeightedGlmData<BOOM::UnivData<double> > > >&)’:
Models/Glm/WeightedRegressionModel.cpp:140:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::WeightedGlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
140 | for (uint i = 0; i < data.size(); ++i) update(data[i]);
| ~~^~~~~~~~~~~~~
In file included from ../inst/include/Models/Glm/RegressionModel.hpp:33,
from ../inst/include/Models/Glm/WeightedRegressionModel.hpp:24,
from Models/Glm/WeightedRegressionModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::WeightedGlmData<BOOM::UnivData<double> >; S = BOOM::WeightedRegSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:94:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::Ptr<P2>&, const DatasetType&) [with D = BOOM::WeightedGlmData<BOOM::UnivData<double> >; S = BOOM::WeightedRegSuf; DatasetType = std::vector<BOOM::Ptr<BOOM::WeightedGlmData<BOOM::UnivData<double> > > >]’
94 | refresh_suf();
| ^~~~~~~~~~~
Models/Glm/WeightedRegressionModel.cpp:246:77: required from here
246 | DataPolicy(new WRS(X.ncol()), make_data(X, y, Vector(y.size(), 1.0))) {
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::WeightedGlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/ZeroInflatedGammaRegression.cpp -o Models/Glm/ZeroInflatedGammaRegression.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/ZeroInflatedLognormalRegression.cpp -o Models/Glm/ZeroInflatedLognormalRegression.o
Models/Glm/ZeroInflatedLognormalRegression.cpp: In member function ‘double BOOM::ZeroInflatedLognormalRegressionModel::log_likelihood(const BOOM::Vector&, const BOOM::Vector&, double) const’:
Models/Glm/ZeroInflatedLognormalRegression.cpp:113:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
113 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
In file included from ../inst/include/Models/Glm/RegressionModel.hpp:33,
from ../inst/include/Models/Glm/ZeroInflatedLognormalRegression.hpp:25,
from Models/Glm/ZeroInflatedLognormalRegression.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::RegSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::RegSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Glm/ZeroInflatedLognormalRegression.hpp:47:9: required from here
47 | class ZeroInflatedLognormalRegressionModel
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/ZeroInflatedPoissonRegression.cpp -o Models/Glm/ZeroInflatedPoissonRegression.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/AdaptiveSpikeSlabRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/AdaptiveSpikeSlabRegressionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/AggregatedRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/AggregatedRegressionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BigAssSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/BigAssSpikeSlabSampler.o
In file included from Models/Glm/PosteriorSamplers/BigAssSpikeSlabSampler.cpp:22:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/BigAssSpikeSlabSampler.cpp: In member function ‘void BOOM::BigAssSpikeSlabSampler::run_parallel_initial_screen(int, double, bool)’:
Models/Glm/PosteriorSamplers/BigAssSpikeSlabSampler.cpp:198:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
198 | for (int column = 0; column < inclusion_probabilities.size(); ++column) {
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.cpp -o Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In instantiation of ‘void BOOM::assign_data_to_workers(const std::vector<Ptr<OBSERVED_DATA> >&, std::vector<Ptr<SUFFICIENT_STATISTICS> >&) [with OBSERVED_DATA = BinomialRegressionData; WORKER = BinomialLogit::ImputeWorker]’:
Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.cpp:141:33: required from here
141 | BOOM::assign_data_to_workers(model_->dat(), workers());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:360:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
360 | for (int i = 0; i < nobs; ++i) {
| ~~^~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:364:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
364 | for (int i = nobs; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:368:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int i = 0; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:370:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
370 | if (e > end || (i + 1) == number_of_workers) e = end;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.hpp:22,
from Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.cpp -o Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.o
Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.cpp: In member function ‘std::pair<double, double> BOOM::BinomialLogitCltDataImputer::impute_large_sample(BOOM::RNG&, double, double, double) const’:
Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.cpp:183:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
183 | for (int m = 0; m < N0.size(); ++m) {
| ~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialLogitSamplerRwm.cpp -o Models/Glm/PosteriorSamplers/BinomialLogitSamplerRwm.o
Models/Glm/PosteriorSamplers/BinomialLogitSamplerRwm.cpp: In member function ‘virtual void BOOM::BinomialLogitSamplerRwm::draw()’:
Models/Glm/PosteriorSamplers/BinomialLogitSamplerRwm.cpp:54:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
54 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialLogitSamplerTim.cpp -o Models/Glm/PosteriorSamplers/BinomialLogitSamplerTim.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp:23,
from Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.cpp: In member function ‘void BOOM::BinomialLogitSpikeSlabSampler::draw_model_indicators()’:
Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.cpp:185:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
185 | for (int i = 0; i < indx.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialProbitCompositeSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/BinomialProbitCompositeSpikeSlabSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialProbitDataImputer.cpp -o Models/Glm/PosteriorSamplers/BinomialProbitDataImputer.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialProbitSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/BinomialProbitSpikeSlabSampler.o
Models/Glm/PosteriorSamplers/BinomialProbitSpikeSlabSampler.cpp: In member function ‘void BOOM::BinomialProbitSpikeSlabSampler::impute_latent_data()’:
Models/Glm/PosteriorSamplers/BinomialProbitSpikeSlabSampler.cpp:64:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
64 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/BinomialProbitSpikeSlabSampler.cpp: In member function ‘void BOOM::BinomialProbitSpikeSlabSampler::refresh_xtx()’:
Models/Glm/PosteriorSamplers/BinomialProbitSpikeSlabSampler.cpp:75:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
75 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BinomialProbitTimSampler.cpp -o Models/Glm/PosteriorSamplers/BinomialProbitTimSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/BregVsSampler.cpp -o Models/Glm/PosteriorSamplers/BregVsSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/CorrelationMap.cpp -o Models/Glm/PosteriorSamplers/CorrelationMap.o
Models/Glm/PosteriorSamplers/CorrelationMap.cpp: In member function ‘int BOOM::CorrelationMap::propose_swap(BOOM::RNG&, const BOOM::Selector&, int, double*) const’:
Models/Glm/PosteriorSamplers/CorrelationMap.cpp:71:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
71 | for (int i = 0; i < candidate_indices.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/CorrelationMap.cpp: In member function ‘double BOOM::CorrelationMap::proposal_weight(const BOOM::Selector&, int, int) const’:
Models/Glm/PosteriorSamplers/CorrelationMap.cpp:102:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
102 | for (int i = 0; i < candidate_indices.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/DAFE_MLM.cpp -o Models/Glm/PosteriorSamplers/DAFE_MLM.o
Models/Glm/PosteriorSamplers/DAFE_MLM.cpp: In member function ‘void BOOM::DafeMlmBase::compute_xtx()’:
Models/Glm/PosteriorSamplers/DAFE_MLM.cpp:73:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::ChoiceData>, std::allocator<BOOM::Ptr<BOOM::ChoiceData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
73 | for (uint i = 0; i < d.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/GammaRegressionPosteriorSampler.cpp -o Models/Glm/PosteriorSamplers/GammaRegressionPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.hpp:30,
from ../inst/include/Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.hpp:24,
from Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp: In member function ‘void BOOM::HierarchicalPoissonRegressionPosteriorSampler::check_data_model_samplers()’:
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp:73:40: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionAuxMixSampler> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
73 | while (data_model_samplers_.size() < nmodels) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp: In member function ‘void BOOM::HierarchicalPoissonRegressionPosteriorSampler::impute_latent_data()’:
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp:86:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionAuxMixSampler> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
86 | for (int i = 0; i < data_model_samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp: In constructor ‘BOOM::HierarchicalPoissonRegressionIndependencePosteriorSampler::HierarchicalPoissonRegressionIndependencePosteriorSampler(BOOM::HierarchicalPoissonRegressionModel*, const BOOM::Ptr<BOOM::MvnBase>&, const std::vector<BOOM::Ptr<BOOM::GammaModelBase> >&, const BOOM::Vector&, int)’:
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp:183:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
183 | if (model->xdim() != siginv_priors.size()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp:189:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | if (model->xdim() != upper_sigma_truncation_point.size()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/LogitSampler.cpp -o Models/Glm/PosteriorSamplers/LogitSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/LogitSamplerBma.cpp -o Models/Glm/PosteriorSamplers/LogitSamplerBma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/LoglinearModelBipfSampler.cpp -o Models/Glm/PosteriorSamplers/LoglinearModelBipfSampler.o
In file included from ../inst/include/Models/Glm/LoglinearModel.hpp:35,
from ../inst/include/Models/Glm/PosteriorSamplers/LoglinearModelBipfSampler.hpp:22,
from Models/Glm/PosteriorSamplers/LoglinearModelBipfSampler.cpp:19:
../inst/include/stats/Encoders.hpp: In member function ‘virtual void BOOM::InteractionEncoder::encode_row(const BOOM::MixedMultivariateData&, BOOM::VectorView) const’:
../inst/include/stats/Encoders.hpp:123:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
123 | for (int i = 0; i < wsp1_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
../inst/include/stats/Encoders.hpp:124:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
124 | for (int j = 0; j < wsp2_.size(); ++j) {
| ~~^~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/LoglinearModelBipfSampler.cpp: In member function ‘void BOOM::LoglinearModelBipfSampler::draw_effect_parameters(int)’:
Models/Glm/PosteriorSamplers/LoglinearModelBipfSampler.cpp:72:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
72 | for (int i = 0; i < which_variables.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MLAuxMixSampler.cpp -o Models/Glm/PosteriorSamplers/MLAuxMixSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp:26,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/MLAuxMixSampler.hpp:25,
from Models/Glm/PosteriorSamplers/MLAuxMixSampler.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MLVS.cpp -o Models/Glm/PosteriorSamplers/MLVS.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp:26,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS.hpp:23,
from Models/Glm/PosteriorSamplers/MLVS.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/MLVS.cpp: In constructor ‘BOOM::MLVS::MLVS(BOOM::{anonymous}::MLM*, const BOOM::Ptr<BOOM::MvnBase>&, const BOOM::Ptr<BOOM::VariableSelectionPrior>&, BOOM::uint, bool, BOOM::RNG&)’:
Models/Glm/PosteriorSamplers/MLVS.cpp:53:50: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
53 | downsampling_(log_sampling_probs_.size() == mod_->Nchoices()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In instantiation of ‘void BOOM::assign_data_to_workers(const std::vector<Ptr<Y> >&, std::vector<Ptr<SUFFICIENT_STATISTICS> >&) [with OBSERVED_DATA = ChoiceData; WORKER = MlvsDataImputer]’:
Models/Glm/PosteriorSamplers/MLVS.cpp:84:33: required from here
84 | BOOM::assign_data_to_workers(mod_->dat(), workers());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:360:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
360 | for (int i = 0; i < nobs; ++i) {
| ~~^~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:364:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
364 | for (int i = nobs; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:368:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int i = 0; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:370:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
370 | if (e > end || (i + 1) == number_of_workers) e = end;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MLVS_data_imputer.cpp -o Models/Glm/PosteriorSamplers/MLVS_data_imputer.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp:26,
from Models/Glm/PosteriorSamplers/MLVS_data_imputer.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/MLVS_data_imputer.cpp: In constructor ‘BOOM::MlvsDataImputer::MlvsDataImputer(SufficientStatistics&, std::mutex&, BOOM::MultinomialLogitModel*, BOOM::RNG*, BOOM::RNG&)’:
Models/Glm/PosteriorSamplers/MLVS_data_imputer.cpp:45:50: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
45 | downsampling_(log_sampling_probs_.size() == model_->Nchoices()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MlogitRwm.cpp -o Models/Glm/PosteriorSamplers/MlogitRwm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MnpBetaGivenSigmaSampler.cpp -o Models/Glm/PosteriorSamplers/MnpBetaGivenSigmaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MnpBetaSampler.cpp -o Models/Glm/PosteriorSamplers/MnpBetaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.cpp -o Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.o
Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.cpp: In member function ‘void BOOM::MultinomialLogit::CompleteDataSufficientStatistics::update(const BOOM::ChoiceData&, const BOOM::Vector&, const BOOM::Vector&)’:
Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.cpp:47:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | for (int i = 0; i < wgts.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp:26,
from ../inst/include/Models/Glm/PosteriorSamplers/MLVS.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.hpp:24,
from Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MultivariateRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/MultivariateRegressionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MultivariateRegressionSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/MultivariateRegressionSpikeSlabSampler.o
In file included from ../inst/include/LinAlg/Matrix.hpp:25,
from ../inst/include/LinAlg/QR.hpp:22,
from ../inst/include/Models/Glm/MultivariateRegression.hpp:21,
from ../inst/include/Models/Glm/PosteriorSamplers/MultivariateRegressionSpikeSlabSampler.hpp:22,
from Models/Glm/PosteriorSamplers/MultivariateRegressionSpikeSlabSampler.cpp:19:
../inst/include/LinAlg/VectorView.hpp: In instantiation of ‘double BOOM::sumlog(const VEC&) [with VEC = ConstVectorView]’:
../inst/include/Models/Glm/PosteriorSamplers/MultivariateRegressionSpikeSlabSampler.hpp:57:46: required from here
57 | double logdet() const { return 2 * sumlog(chol_.diag()); }
| ~~~~~~^~~~~~~~~~~~~~
../inst/include/LinAlg/VectorView.hpp:283:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
283 | for (size_t i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/MvtRegSampler.cpp -o Models/Glm/PosteriorSamplers/MvtRegSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/NonconjugateRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/NonconjugateRegressionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp -o Models/Glm/PosteriorSamplers/NormalMixtureApproximation.o
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp: In member function ‘double BOOM::NormalMixtureApproximation::logp(double) const’:
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp:274:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
274 | for (int s = 0; s < mu_.size(); ++s) {
| ~~^~~~~~~~~~~~
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp: In member function ‘void BOOM::NormalMixtureApproximation::check_sizes()’:
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp:327:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
327 | if (sigma_.size() != n || weights_.size() != n ||
| ~~~~~~~~~~~~~~^~~~
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp:327:47: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
327 | if (sigma_.size() != n || weights_.size() != n ||
| ~~~~~~~~~~~~~~~~^~~~
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp:328:29: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
328 | log_weights_.size() != n) {
| ~~~~~~~~~~~~~~~~~~~~^~~~
In file included from Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp:28:
../inst/include/cpputil/index_table.hpp: In instantiation of ‘std::vector<int> BOOM::index_table(const std::vector<_RealType>&) [with OBJ = double]’:
Models/Glm/PosteriorSamplers/NormalMixtureApproximation.cpp:265:26: required from here
265 | set_order(index_table(mu_));
| ~~~~~~~~~~~^~~~~
../inst/include/cpputil/index_table.hpp:47:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | for (int i = 0; i < v.size(); ++i) ans[i] = i;
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/OrdinalLogitImputer.cpp -o Models/Glm/PosteriorSamplers/OrdinalLogitImputer.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp -o Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.o
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp: In constructor ‘BOOM::OrdinalLogitPosteriorSampler::OrdinalLogitPosteriorSampler(BOOM::OrdinalLogitModel*, const BOOM::Ptr<BOOM::MvnBase>&, const BOOM::Ptr<BOOM::VectorModel>&, BOOM::RNG&)’:
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp:38:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
38 | for (int i = 0; i < model_->cutpoint_vector().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp: In member function ‘void BOOM::OrdinalLogitPosteriorSampler::impute_latent_data()’:
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp:69:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::OrdinalData> >, std::allocator<BOOM::Ptr<BOOM::GlmData<BOOM::OrdinalData> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
69 | for (int i = 0; i < model_->dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp: In member function ‘void BOOM::OrdinalLogitPosteriorSampler::draw_cutpoints()’:
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp:87:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
87 | for (int i = 0; i < model_->cutpoint_vector().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/OrdinalLogitPosteriorSampler.cpp:94:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
94 | if (i + 1 < model_->cutpoint_vector().size()) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/PartRegSampler.cpp -o Models/Glm/PosteriorSamplers/PartRegSampler.o
Models/Glm/PosteriorSamplers/PartRegSampler.cpp: In function ‘std::vector<std::pair<BOOM::Selector, double> >& BOOM::fix_probs(std::vector<std::pair<Selector, double> >&)’:
Models/Glm/PosteriorSamplers/PartRegSampler.cpp:109:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::pair<BOOM::Selector, double> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
109 | for (uint i = 0; i < ans.size(); ++i) prob[i] = ans[i].second;
| ~~^~~~~~~~~~~~
Models/Glm/PosteriorSamplers/PartRegSampler.cpp:111:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::pair<BOOM::Selector, double> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
111 | for (uint i = 0; i < ans.size(); ++i) ans[i].second = prob[i];
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/PoissonDataImputer.cpp -o Models/Glm/PosteriorSamplers/PoissonDataImputer.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.cpp -o Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.hpp:30,
from Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In instantiation of ‘void BOOM::assign_data_to_workers(const std::vector<Ptr<Y> >&, std::vector<Ptr<P2> >&) [with OBSERVED_DATA = PoissonRegressionData; WORKER = PoissonRegressionDataImputer]’:
Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.cpp:161:33: required from here
161 | BOOM::assign_data_to_workers(model_->dat(), workers());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:360:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
360 | for (int i = 0; i < nobs; ++i) {
| ~~^~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:364:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
364 | for (int i = nobs; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:368:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int i = 0; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:370:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
370 | if (e > end || (i + 1) == number_of_workers) e = end;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/PoissonRegressionRwmSampler.cpp -o Models/Glm/PosteriorSamplers/PoissonRegressionRwmSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.hpp:30,
from ../inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.hpp:24,
from Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/ProbitRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/ProbitRegressionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/ProbitSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/ProbitSpikeSlabSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/QuantileRegressionPosteriorSampler.cpp -o Models/Glm/PosteriorSamplers/QuantileRegressionPosteriorSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/QuantileRegressionPosteriorSampler.hpp:28,
from Models/Glm/PosteriorSamplers/QuantileRegressionPosteriorSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In instantiation of ‘void BOOM::assign_data_to_workers(const std::vector<Ptr<Y> >&, std::vector<Ptr<SER> >&) [with OBSERVED_DATA = GlmData<UnivData<double> >; WORKER = QuantileRegressionImputeWorker]’:
Models/Glm/PosteriorSamplers/QuantileRegressionPosteriorSampler.cpp:73:33: required from here
73 | BOOM::assign_data_to_workers(model_->dat(), workers());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:360:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
360 | for (int i = 0; i < nobs; ++i) {
| ~~^~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:364:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
364 | for (int i = nobs; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:368:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int i = 0; i < number_of_workers; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp:370:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
370 | if (e > end || (i + 1) == number_of_workers) e = end;
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/RegressionCoefficientSampler.cpp -o Models/Glm/PosteriorSamplers/RegressionCoefficientSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/RegressionConjSampler.cpp -o Models/Glm/PosteriorSamplers/RegressionConjSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/RegressionSemiconjugateSampler.cpp -o Models/Glm/PosteriorSamplers/RegressionSemiconjugateSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp -o Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.o
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp: In member function ‘void BOOM::RegressionShrinkageSampler::CoefficientGroup::refresh_sufficient_statistics(const BOOM::Vector&)’:
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:36:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for (int i = 0; i < indices_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp: In member function ‘void BOOM::RegressionShrinkageSampler::draw_hyperparameters()’:
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:73:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::RegressionShrinkageSampler::CoefficientGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
73 | for (int g = 0; g < groups_.size(); ++g) {
| ~~^~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp: In member function ‘virtual double BOOM::RegressionShrinkageSampler::logpri() const’:
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:89:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::RegressionShrinkageSampler::CoefficientGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
89 | for (int g = 0; g < groups_.size(); ++g) {
| ~~^~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:91:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
91 | for (int i = 0; i < indices.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp: In member function ‘BOOM::Vector BOOM::RegressionShrinkageSampler::prior_mean() const’:
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:101:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::RegressionShrinkageSampler::CoefficientGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
101 | for (int g = 0; g < groups_.size(); ++g) {
| ~~^~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:104:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
104 | for (int i = 0; i < indices.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp: In member function ‘BOOM::Vector BOOM::RegressionShrinkageSampler::prior_precision_diagonal() const’:
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:113:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::RegressionShrinkageSampler::CoefficientGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
113 | for (int g = 0; g < groups_.size(); ++g) {
| ~~^~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/RegressionShrinkageSampler.cpp:116:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
116 | for (int i = 0; i < indices.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.o
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp: In constructor ‘BOOM::SpikeSlabDaRegressionSampler::SpikeSlabDaRegressionSampler(BOOM::RegressionModel*, const BOOM::Ptr<BOOM::IndependentMvnModelGivenScalarSigma>&, const BOOM::Ptr<BOOM::GammaModelBase>&, const BOOM::Vector&, double, double, BOOM::RNG&)’:
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp:55:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
55 | for (int i = 0; i < log_prior_inclusion_probabilities_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp: In member function ‘virtual double BOOM::SpikeSlabDaRegressionSampler::logpri() const’:
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp:85:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
85 | for (int i = 0; i < log_prior_inclusion_probabilities_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp: In member function ‘void BOOM::SpikeSlabDaRegressionSampler::impute_latent_data()’:
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp:137:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
137 | for (int i = 0; i < missing_y_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp: In member function ‘void BOOM::SpikeSlabDaRegressionSampler::compute_leverage_of_missing_design_points()’:
Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp:370:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
370 | for (int i = 0; i < missing_leverage_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/SpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/SpikeSlabSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/TDataImputer.cpp -o Models/Glm/PosteriorSamplers/TDataImputer.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/TRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/TRegressionSampler.o
Models/Glm/PosteriorSamplers/TRegressionSampler.cpp: In member function ‘void BOOM::TRegressionSampler::impute_latent_data()’:
Models/Glm/PosteriorSamplers/TRegressionSampler.cpp:129:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
129 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/TRegressionSpikeSlabSampler.cpp -o Models/Glm/PosteriorSamplers/TRegressionSpikeSlabSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/VsPriorSampler.cpp -o Models/Glm/PosteriorSamplers/VsPriorSampler.o
Models/Glm/PosteriorSamplers/VsPriorSampler.cpp: In constructor ‘BOOM::VsPriorSampler::VsPriorSampler(BOOM::StructuredVariableSelectionPrior*, const std::vector<BOOM::Ptr<BOOM::BetaModel> >&, BOOM::RNG&)’:
Models/Glm/PosteriorSamplers/VsPriorSampler.cpp:112:21: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::BetaModel> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
112 | if (Beta.size() != n) {
| ~~~~~~~~~~~~^~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.cpp -o Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.hpp:22,
from ../inst/include/Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.hpp:26,
from Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.cpp: In member function ‘void BOOM::ZeroInflatedLognormalRegressionPosteriorSampler::ensure_latent_data()’:
Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.cpp:98:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for (int i = 0; i < model_->dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp -o Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.hpp:22,
from ../inst/include/Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.hpp:24,
from Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp: In member function ‘double BOOM::ZeroInflatedPoissonRegressionSampler::compute_convergence_criterion(const BOOM::Vector&, const BOOM::Vector&) const’:
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp:106:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
106 | for (int i = 0; i < new_logit_coefficients.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp: In member function ‘void BOOM::ZeroInflatedPoissonRegressionSampler::impute_forced_zeros(bool)’:
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp:135:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedPoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::ZeroInflatedPoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
135 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp: In member function ‘void BOOM::ZeroInflatedPoissonRegressionSampler::ensure_latent_data()’:
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp:197:32: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::PoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
197 | if (number_of_observations != poisson_->dat().size() ||
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp:198:32: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
198 | number_of_observations != logit_->dat().size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp: In member function ‘void BOOM::ZeroInflatedPoissonRegressionSampler::refresh_latent_data()’:
Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp:226:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedPoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::ZeroInflatedPoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
226 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/draw_logit_lambda.cpp -o Models/Glm/PosteriorSamplers/draw_logit_lambda.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/fill_poisson_mixture_approximation_table_1.cpp -o Models/Glm/PosteriorSamplers/fill_poisson_mixture_approximation_table_1.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/fill_poisson_mixture_approximation_table_2.cpp -o Models/Glm/PosteriorSamplers/fill_poisson_mixture_approximation_table_2.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/fill_poisson_mixture_approximation_table_3.cpp -o Models/Glm/PosteriorSamplers/fill_poisson_mixture_approximation_table_3.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Glm/PosteriorSamplers/poisson_mixture_approximation_table.cpp -o Models/Glm/PosteriorSamplers/poisson_mixture_approximation_table.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/HierarchicalDirichletModel.cpp -o Models/Hierarchical/HierarchicalDirichletModel.o
In file included from ../inst/include/Models/Hierarchical/HierarchicalDirichletModel.hpp:24,
from Models/Hierarchical/HierarchicalDirichletModel.cpp:20:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::HierarchicalModelBase(const BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>&) [with DATA_MODEL_TYPE = BOOM::MultinomialModel; PRIOR_TYPE = BOOM::DirichletModel]’:
../inst/include/Models/Hierarchical/HierarchicalDirichletModel.hpp:49:9: required from here
49 | class HierarchicalDirichletModel
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:53:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MultinomialModel>, std::allocator<BOOM::Ptr<BOOM::MultinomialModel> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
53 | for (int i = 0; i < rhs.data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘void BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::initialize_model_structure() [with DATA_MODEL_TYPE = BOOM::MultinomialModel; PRIOR_TYPE = BOOM::DirichletModel]’:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:44:7: required from ‘BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::HierarchicalModelBase(const BOOM::Ptr<SER>&) [with DATA_MODEL_TYPE = BOOM::MultinomialModel; PRIOR_TYPE = BOOM::DirichletModel]’
44 | initialize_model_structure();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalDirichletModel.cpp:39:64: required from here
39 | : HierarchicalBase(new DirichletModel(sample_size * mean)) {
| ^
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:112:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MultinomialModel>, std::allocator<BOOM::Ptr<BOOM::MultinomialModel> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
112 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘void BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::clear_methods() [with DATA_MODEL_TYPE = BOOM::MultinomialModel; PRIOR_TYPE = BOOM::DirichletModel]’:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:81:10: required from here
81 | void clear_methods() override {
| ^~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:83:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MultinomialModel>, std::allocator<BOOM::Ptr<BOOM::MultinomialModel> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/HierarchicalGammaModel.cpp -o Models/Hierarchical/HierarchicalGammaModel.o
Models/Hierarchical/HierarchicalGammaModel.cpp: In constructor ‘BOOM::HierarchicalGammaModel::HierarchicalGammaModel(const std::vector<int>&, const std::vector<double>&, const std::vector<double>&)’:
Models/Hierarchical/HierarchicalGammaModel.cpp:32:47: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
32 | if ((sum_of_observations_per_group.size() != n) ||
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
Models/Hierarchical/HierarchicalGammaModel.cpp:33:51: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
33 | (sum_of_log_observations_per_group.size() != n)) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
Models/Hierarchical/HierarchicalGammaModel.cpp: In copy constructor ‘BOOM::HierarchicalGammaModel::HierarchicalGammaModel(const BOOM::HierarchicalGammaModel&)’:
Models/Hierarchical/HierarchicalGammaModel.cpp:57:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
57 | for (int i = 0; i < rhs.data_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalGammaModel.cpp: In member function ‘virtual void BOOM::HierarchicalGammaModel::clear_methods()’:
Models/Hierarchical/HierarchicalGammaModel.cpp:70:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
70 | for (int i = 0; i < data_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/HierarchicalGaussianRegressionModel.cpp -o Models/Hierarchical/HierarchicalGaussianRegressionModel.o
Models/Hierarchical/HierarchicalGaussianRegressionModel.cpp: In member function ‘void BOOM::HierarchicalGaussianRegressionModel::clear_data_keep_models()’:
Models/Hierarchical/HierarchicalGaussianRegressionModel.cpp:83:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RegressionModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (int i = 0; i < groups_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalGaussianRegressionModel.cpp: In member function ‘virtual void BOOM::HierarchicalGaussianRegressionModel::combine_data(const BOOM::Model&, bool)’:
Models/Hierarchical/HierarchicalGaussianRegressionModel.cpp:97:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::RegressionModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
97 | for (int i = 0; i < other_model->groups_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/HierarchicalPoissonModel.cpp -o Models/Hierarchical/HierarchicalPoissonModel.o
In file included from ../inst/include/Models/Hierarchical/HierarchicalPoissonModel.hpp:24,
from Models/Hierarchical/HierarchicalPoissonModel.cpp:20:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::HierarchicalModelBase(const BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>&) [with DATA_MODEL_TYPE = BOOM::PoissonModel; PRIOR_TYPE = BOOM::GammaModel]’:
../inst/include/Models/Hierarchical/HierarchicalPoissonModel.hpp:47:9: required from here
47 | class HierarchicalPoissonModel
| ^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:53:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonModel>, std::allocator<BOOM::Ptr<BOOM::PoissonModel> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
53 | for (int i = 0; i < rhs.data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘void BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::initialize_model_structure() [with DATA_MODEL_TYPE = BOOM::PoissonModel; PRIOR_TYPE = BOOM::GammaModel]’:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:44:7: required from ‘BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::HierarchicalModelBase(const BOOM::Ptr<P2>&) [with DATA_MODEL_TYPE = BOOM::PoissonModel; PRIOR_TYPE = BOOM::GammaModel]’
44 | initialize_model_structure();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalPoissonModel.cpp:40:76: required from here
40 | new GammaModel(lambda_prior_sample_size, lambda_prior_guess, 0)) {}
| ^
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:112:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonModel>, std::allocator<BOOM::Ptr<BOOM::PoissonModel> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
112 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘void BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::clear_methods() [with DATA_MODEL_TYPE = BOOM::PoissonModel; PRIOR_TYPE = BOOM::GammaModel]’:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:81:10: required from here
81 | void clear_methods() override {
| ^~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:83:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonModel>, std::allocator<BOOM::Ptr<BOOM::PoissonModel> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp -o Models/Hierarchical/HierarchicalZeroInflatedGammaModel.o
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp: In constructor ‘BOOM::HierarchicalZeroInflatedGammaModel::HierarchicalZeroInflatedGammaModel(const BOOM::Vector&, const BOOM::Vector&, const BOOM::Vector&, const BOOM::Vector&, BOOM::RNG&)’:
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp:73:46: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
73 | if (number_of_positives_per_group.size() != number_of_groups ||
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp:74:55: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
74 | sum_of_positive_observations_per_group.size() != number_of_groups ||
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp:75:53: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
75 | sum_of_logs_of_positive_observations.size() != number_of_groups) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp: In copy constructor ‘BOOM::HierarchicalZeroInflatedGammaModel::HierarchicalZeroInflatedGammaModel(const BOOM::{anonymous}::HZIGM&)’:
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp:105:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedGammaModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
105 | for (int i = 0; i < rhs.data_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp: In member function ‘virtual void BOOM::HierarchicalZeroInflatedGammaModel::combine_data(const BOOM::Model&, bool)’:
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp:138:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedGammaModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
138 | for (int i = 0; i < that.data_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp: In member function ‘void BOOM::HierarchicalZeroInflatedGammaModel::setup()’:
Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp:235:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedGammaModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
235 | for (int i = 0; i < data_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp -o Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.o
Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp: In copy constructor ‘BOOM::HierarchicalZeroInflatedPoissonModel::HierarchicalZeroInflatedPoissonModel(const BOOM::HierarchicalZeroInflatedPoissonModel&)’:
Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp:104:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedPoissonModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
104 | for (int i = 0; i < rhs.data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp: In member function ‘void BOOM::HierarchicalZeroInflatedPoissonModel::clear_client_data()’:
Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp:125:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedPoissonModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
125 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp: In member function ‘virtual void BOOM::HierarchicalZeroInflatedPoissonModel::clear_methods()’:
Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp:133:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroInflatedPoissonModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
133 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierGaussianRegressionAsisSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierGaussianRegressionAsisSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierarchicalDirichletPosteriorSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierarchicalDirichletPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierarchicalGammaSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierarchicalGammaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierarchicalGaussianRegressionSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierarchicalGaussianRegressionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierarchicalPoissonSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierarchicalPoissonSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedGammaSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedGammaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedPoissonSampler.cpp -o Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedPoissonSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/GeneralHmmStateSpaceWrapper.cpp -o Models/HMM/GeneralHmmStateSpaceWrapper.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/HMM/GeneralHmmStateSpaceWrapper.hpp:22,
from Models/HMM/GeneralHmmStateSpaceWrapper.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/HMM2.cpp -o Models/HMM/HMM2.o
In file included from ../inst/include/Models/HMM/HMM2.hpp:27,
from Models/HMM/HMM2.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from ../inst/include/Models/HMM/HMM2.hpp:31:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/HMM2.cpp: In copy constructor ‘BOOM::HMM_EM::HMM_EM(const BOOM::HMM_EM&)’:
Models/HMM/HMM2.cpp:193:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::EmMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
193 | for (uint i = 0; i < mix_.size(); ++i) mix_[i] = rhs.mix_[i]->clone();
| ~~^~~~~~~~~~~~~
In file included from ../inst/include/Models/HMM/HMM2.hpp:28:
../inst/include/Models/Policies/CompositeParamPolicy.hpp: In instantiation of ‘void BOOM::CompositeParamPolicy::set_models(Fwd, Fwd) [with Fwd = __gnu_cxx::__normal_iterator<BOOM::Ptr<BOOM::MixtureComponent>*, std::vector<BOOM::Ptr<BOOM::MixtureComponent> > >]’:
Models/HMM/HMM2.cpp:52:28: required from here
52 | ParamPolicy::set_models(mix_.begin(), mix_.end());
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/CompositeParamPolicy.hpp:74:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Model> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (uint i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
../inst/include/Models/Policies/CompositeParamPolicy.hpp: In instantiation of ‘void BOOM::CompositeParamPolicy::set_models(Fwd, Fwd) [with Fwd = __gnu_cxx::__normal_iterator<BOOM::Ptr<BOOM::EmMixtureComponent>*, std::vector<BOOM::Ptr<BOOM::EmMixtureComponent> > >]’:
../inst/include/Models/HMM/HMM2.hpp:65:30: required from ‘void BOOM::HiddenMarkovModel::set_mixture_components(Fwd, Fwd) [with Fwd = __gnu_cxx::__normal_iterator<BOOM::Ptr<BOOM::EmMixtureComponent>*, std::vector<BOOM::Ptr<BOOM::EmMixtureComponent> > >]’
65 | ParamPolicy::set_models(b, e);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
Models/HMM/HMM2.cpp:194:27: required from here
194 | set_mixture_components(mix_.begin(), mix_.end());
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/CompositeParamPolicy.hpp:74:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Model> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (uint i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/HealthStateModel.cpp -o Models/HMM/HealthStateModel.o
In file included from ../inst/include/Models/HMM/HealthStateModel.hpp:24,
from Models/HMM/HealthStateModel.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/HMM/HealthStateModel.cpp: In member function ‘void BOOM::HealthStateModel::initialize_param_policy()’:
Models/HMM/HealthStateModel.cpp:60:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
60 | for (int i = 0; i < mix_.size(); ++i) ParamPolicy::add_model(mix_[i]);
| ~~^~~~~~~~~~~~~
Models/HMM/HealthStateModel.cpp:61:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MarkovModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
61 | for (int i = 0; i < mark_.size(); ++i) ParamPolicy::add_model(mark_[i]);
| ~~^~~~~~~~~~~~~~
Models/HMM/HealthStateModel.cpp: In copy constructor ‘BOOM::HealthStateModel::HealthStateModel(const BOOM::HealthStateModel&)’:
Models/HMM/HealthStateModel.cpp:77:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
77 | for (int i = 0; i < rhs.mix_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/HealthStateModel.cpp:82:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MarkovModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
82 | for (int i = 0; i < rhs.mark_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/HmmDataImputer.cpp -o Models/HMM/HmmDataImputer.o
In file included from ../inst/include/Models/HMM/HMM2.hpp:27,
from ../inst/include/Models/HMM/HmmDataImputer.hpp:23,
from Models/HMM/HmmDataImputer.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from ../inst/include/Models/HMM/HMM2.hpp:31:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/HmmFilter.cpp -o Models/HMM/HmmFilter.o
In file included from ../inst/include/Models/HMM/HmmFilter.hpp:24,
from Models/HMM/HmmFilter.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/HMM/HmmFilter.cpp: In member function ‘double BOOM::HmmFilter::fwd(const std::vector<BOOM::Ptr<BOOM::Data> >&)’:
Models/HMM/HmmFilter.cpp:83:21: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
83 | if (logp.size() != S) logp.resize(S);
| ~~~~~~~~~~~~^~~~
Models/HMM/HmmFilter.cpp:84:18: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
84 | if (P.size() < n) P.resize(n);
| ~~~~~~~~~^~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/hmm_tools.cpp -o Models/HMM/hmm_tools.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/Clickstream/Event.cpp -o Models/HMM/Clickstream/Event.o
In file included from ../inst/include/Models/HMM/Clickstream/Event.hpp:23,
from Models/HMM/Clickstream/Event.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/Clickstream/NestedHmm.cpp -o Models/HMM/Clickstream/NestedHmm.o
In file included from ../inst/include/Models/HMM/Clickstream/NestedHmm.hpp:25,
from Models/HMM/Clickstream/NestedHmm.cpp:19:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from Models/HMM/Clickstream/NestedHmm.cpp:27:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp: In member function ‘void BOOM::NestedHmm::pass_params_to_workers()’:
Models/HMM/Clickstream/NestedHmm.cpp:588:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::NestedHmm> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
588 | for (int i = 0; i < workers_.size(); ++i)
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp: In member function ‘void BOOM::NestedHmm::start_thread_imputation()’:
Models/HMM/Clickstream/NestedHmm.cpp:596:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::NestedHmm> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
596 | for (int i = 0; i < workers_.size(); ++i){
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp:600:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::NestedHmm> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
600 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp: In member function ‘void BOOM::NestedHmm::start_thread_em()’:
Models/HMM/Clickstream/NestedHmm.cpp:621:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::NestedHmm> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
621 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp:625:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::NestedHmm> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
625 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp: In member function ‘double BOOM::NestedHmm::collect_threads()’:
Models/HMM/Clickstream/NestedHmm.cpp:632:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::NestedHmm> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
632 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp: In member function ‘void BOOM::NestedHmm::check_filter_size(int) const’:
Models/HMM/Clickstream/NestedHmm.cpp:698:18: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
698 | if (P.size() < nevents) P.resize(nevents);
| ~~~~~~~~~^~~~~~~~~
Models/HMM/Clickstream/NestedHmm.cpp: In member function ‘void BOOM::NestedHmm::fill_big_Q() const’:
Models/HMM/Clickstream/NestedHmm.cpp:735:24: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
735 | if (logpi0_.size() != S) logpi0_.resize(S);
| ~~~~~~~~~~~~~~~^~~~
Models/HMM/Clickstream/NestedHmm.cpp:736:22: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
736 | if (logd_.size() != S) logd_.resize(S);
| ~~~~~~~~~~~~~^~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/Clickstream/Session.cpp -o Models/HMM/Clickstream/Session.o
In file included from ../inst/include/Models/HMM/Clickstream/Event.hpp:23,
from ../inst/include/Models/HMM/Clickstream/Session.hpp:23,
from Models/HMM/Clickstream/Session.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/Clickstream/Stream.cpp -o Models/HMM/Clickstream/Stream.o
In file included from ../inst/include/Models/HMM/Clickstream/Event.hpp:23,
from ../inst/include/Models/HMM/Clickstream/Session.hpp:23,
from ../inst/include/Models/HMM/Clickstream/Stream.hpp:22,
from Models/HMM/Clickstream/Stream.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/Clickstream/PosteriorSamplers/NestedHmmPosteriorSampler.cpp -o Models/HMM/Clickstream/PosteriorSamplers/NestedHmmPosteriorSampler.o
In file included from ../inst/include/Models/HMM/Clickstream/NestedHmm.hpp:25,
from ../inst/include/Models/HMM/Clickstream/PosteriorSamplers/NestedHmmPosteriorSampler.hpp:23,
from Models/HMM/Clickstream/PosteriorSamplers/NestedHmmPosteriorSampler.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/PosteriorSamplers/HmmPosteriorSampler.cpp -o Models/HMM/PosteriorSamplers/HmmPosteriorSampler.o
In file included from ../inst/include/Models/HMM/HMM2.hpp:27,
from ../inst/include/Models/HMM/PosteriorSamplers/HmmPosteriorSampler.hpp:23,
from Models/HMM/PosteriorSamplers/HmmPosteriorSampler.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from ../inst/include/Models/HMM/HMM2.hpp:31:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/HMM/PosteriorSamplers/HmmPosteriorSampler.cpp: In member function ‘void BOOM::HmmPosteriorSampler::draw_mixture_components()’:
Models/HMM/PosteriorSamplers/HmmPosteriorSampler.cpp:60:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::MixtureComponentSampler>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
60 | if (workers_.size() != S) {
| ~~~~~~~~~~~~~~~~^~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp -o Models/HMM/PosteriorSamplers/LiuWestParticleFilter.o
Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp: In member function ‘void BOOM::LiuWestParticleFilter::set_particles(const BOOM::Matrix&, const BOOM::Matrix&)’:
Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp:61:27: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
61 | if (parameters.ncol() != parameter_particles_[0].size()) {
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp: In member function ‘BOOM::Matrix BOOM::LiuWestParticleFilter::to_matrix(const std::vector<BOOM::Vector>&) const’:
Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp:207:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Vector>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
207 | for (int i = 0; i < vectors.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
In file included from Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp:22:
../inst/include/stats/Resampler.hpp: In instantiation of ‘std::vector<_RealType> BOOM::Resampler::operator()(const std::vector<_RealType>&, int, BOOM::RNG&) const [with T = BOOM::Vector]’:
Models/HMM/PosteriorSamplers/LiuWestParticleFilter.cpp:180:33: required from here
180 | return to_matrix(resampler(parameter_particles_, -1, *rng));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/stats/Resampler.hpp:100:31: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘std::vector<BOOM::Vector>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
100 | if (cdf.crbegin()->second >= things.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/DafePcrDataImputer.cpp -o Models/IRT/DafePcrDataImputer.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/DafePcrItemSampler.cpp -o Models/IRT/DafePcrItemSampler.o
Models/IRT/DafePcrItemSampler.cpp: In member function ‘void BOOM::IRT::ItemDafeTF::logp_sub(const BOOM::Ptr<BOOM::IRT::Subject>&) const’:
Models/IRT/DafePcrItemSampler.cpp:78:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
78 | for (uint i = 0; i < u.size(); ++i) ans += dexv(u[i], eta[i], 1.0, true);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/DafePcrRwmItemSampler.cpp -o Models/IRT/DafePcrRwmItemSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/DafePcrRwmSubject.cpp -o Models/IRT/DafePcrRwmSubject.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/DafePcrSubject.cpp -o Models/IRT/DafePcrSubject.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/IRT.cpp -o Models/IRT/IRT.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/IrtModel.cpp -o Models/IRT/IrtModel.o
Models/IRT/IrtModel.cpp: In function ‘void BOOM::IRT::set_default_names(StringVector&)’:
Models/IRT/IrtModel.cpp:46:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | for (uint i = 0; i < s.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/Item.cpp -o Models/IRT/Item.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/PartialCreditModel.cpp -o Models/IRT/PartialCreditModel.o
Models/IRT/PartialCreditModel.cpp: In member function ‘void BOOM::IRT::PartialCreditModel::initialize_params()’:
Models/IRT/PartialCreditModel.cpp:293:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
293 | for (uint i = 1; i < h.size(); ++i) b[i] = log(h[i] / h[0]);
| ~~^~~~~~~~~~
Models/IRT/PartialCreditModel.cpp: In member function ‘void BOOM::IRT::PartialCreditModel::fill_abd() const’:
Models/IRT/PartialCreditModel.cpp:396:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
396 | for (uint m = 0; m < D.size(); ++m) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/Subject.cpp -o Models/IRT/Subject.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/SubjectPrior.cpp -o Models/IRT/SubjectPrior.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IRT/SubjectSliceSampler.cpp -o Models/IRT/SubjectSliceSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Array.cpp -o LinAlg/Array.o
LinAlg/Array.cpp: In member function ‘void BOOM::ConstArrayBase::compute_strides()’:
LinAlg/Array.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (int i = 0; i < dims_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
LinAlg/Array.cpp: In function ‘int BOOM::{anonymous}::array_index(const std::vector<int>&, const std::vector<int>&, const std::vector<int>&)’:
LinAlg/Array.cpp:85:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
85 | for (int i = 0; i < dim.size(); ++i) {
| ~~^~~~~~~~~~~~
LinAlg/Array.cpp: In function ‘void BOOM::{anonymous}::check_slice_size(const std::vector<int>&, const std::vector<int>&)’:
LinAlg/Array.cpp:118:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
118 | for (int i = 0; i < index.size(); ++i) {
| ~~^~~~~~~~~~~~~~
LinAlg/Array.cpp:120:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
120 | if (i + 1 < index.size()) msg << ",";
| ~~~~~~^~~~~~~~~~~~~~
LinAlg/Array.cpp: In member function ‘int BOOM::ConstArrayBase::size() const’:
LinAlg/Array.cpp:245:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
245 | for (int i = 0; i < dims_.size(); ++i) ans *= dims_[i];
| ~~^~~~~~~~~~~~~~
LinAlg/Array.cpp: In member function ‘BOOM::ArrayView& BOOM::ArrayView::operator=(const BOOM::Vector&)’:
LinAlg/Array.cpp:585:33: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
585 | if (ndim() != 1 || a.size() != dim(0)) {
| ~~~~~~~~~^~~~~~~~~
LinAlg/Array.cpp: In constructor ‘BOOM::Array::Array(const std::vector<int>&, const std::vector<double>&)’:
LinAlg/Array.cpp:716:22: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
716 | if (data_.size() != size()) {
| ~~~~~~~~~~~~~^~~~~~~~~
LinAlg/Array.cpp:720:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
720 | for (int i = 0; i < dims.size(); ++i) {
| ~~^~~~~~~~~~~~~
LinAlg/Array.cpp: In constructor ‘BOOM::Array::Array(const std::vector<int>&, const double*)’:
LinAlg/Array.cpp:731:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
731 | for (int i = 0; i < dims.size(); ++i) {
| ~~^~~~~~~~~~~~~
LinAlg/Array.cpp: In static member function ‘static int BOOM::ConstArrayBase::product(const std::vector<int>&)’:
LinAlg/Array.cpp:830:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
830 | for (int i = 0; i < dims.size(); ++i) {
| ~~^~~~~~~~~~~~~
LinAlg/Array.cpp: In instantiation of ‘RETURN_TYPE BOOM::{anonymous}::template_slice_array(INPUT_TYPE, const std::vector<int>&, const std::vector<int>&, const std::vector<int>&) [with RETURN_TYPE = BOOM::ArrayView; INPUT_TYPE = double*]’:
LinAlg/Array.cpp:154:55: required from here
154 | return template_slice_array<ArrayView, double *>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
155 | host_data, index, host_dims, host_strides);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Array.cpp:135:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
135 | for (int i = 0; i < index.size(); ++i) {
| ~~^~~~~~~~~~~~~~
LinAlg/Array.cpp: In instantiation of ‘RETURN_TYPE BOOM::{anonymous}::template_slice_array(INPUT_TYPE, const std::vector<int>&, const std::vector<int>&, const std::vector<int>&) [with RETURN_TYPE = BOOM::ConstArrayView; INPUT_TYPE = const double*]’:
LinAlg/Array.cpp:162:66: required from here
162 | return template_slice_array<ConstArrayView, const double *>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
163 | host_data, index, host_dims, host_strides);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Array.cpp:135:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
135 | for (int i = 0; i < index.size(); ++i) {
| ~~^~~~~~~~~~~~~~
LinAlg/Array.cpp: In instantiation of ‘bool BOOM::{anonymous}::vector_compare(const V&, const BOOM::ConstArrayBase&) [with V = BOOM::Vector]’:
LinAlg/Array.cpp:250:26: required from here
250 | return vector_compare(rhs, *this);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~
LinAlg/Array.cpp:103:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
103 | if ((array.ndim() != 1) || (n != v.size())) return false;
| ~~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/ArrayIterator.cpp -o LinAlg/ArrayIterator.o
LinAlg/ArrayIterator.cpp: In member function ‘void BOOM::ArrayPositionManager::operator++()’:
LinAlg/ArrayIterator.cpp:40:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | for (int which_index = 0; which_index < dims_.size(); ++which_index) {
| ~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/ArrayIterator.cpp: In member function ‘void BOOM::ArrayPositionManager::set_position(const std::vector<int>&)’:
LinAlg/ArrayIterator.cpp:98:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for (int i = 0; i < dims_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Cholesky.cpp -o LinAlg/Cholesky.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/Eigen/Cholesky:11,
from LinAlg/Cholesky.cpp:22:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
LinAlg/Cholesky.cpp:48:50: required from here
48 | EigenMap(D) = eigen_cholesky_safe.vectorD();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Cholesky.cpp:55:46: required from here
55 | EigenMap(lower_cholesky_triangle_);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:33: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:91: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
352 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:354:41: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
354 | Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
| ^~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:358:18: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
| ~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
| ~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
387 | ret = ret && (A21.array()==Scalar(0)).all();
| ~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:27: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
../inst/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]’
145 | return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:385:13: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
385 | A21 /= realAkk;
| ~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
387 | ret = ret && (A21.array()==Scalar(0)).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
323 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:324:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
324 | Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:325:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
325 | Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::Scalar Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’
175 | return internal::evaluator<Derived>(derived()).coeff(row,col);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
530 | return derived().coeff(0,0);
| ~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
374 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
217 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
231 | gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
231 | gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
232 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
| ^~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, true>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
233 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Lhs = Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:55:46: required from here
55 | EigenMap(lower_cholesky_triangle_);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Lhs = Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:55:46: required from here
55 | EigenMap(lower_cholesky_triangle_);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
289 | gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
290 | blockA, blockB+j2*actual_kc,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
291 | actual_mc, panelLength, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
292 | Scalar(-1),
| ~~~~~~~~~~~
293 | actual_kc, actual_kc, // strides
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
294 | panelOffset, panelOffset); // offsets
| ~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
320 | actualPanelWidth, actual_mc,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
321 | actual_kc, j2);
| ~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::Scalar Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’
175 | return internal::evaluator<Derived>(derived()).coeff(row,col);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]’
530 | return derived().coeff(0,0);
| ~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
333 | if (rs>0) A21 /= x;
| ~~~~^~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1128:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Lhs = Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:55:46: required from here
55 | EigenMap(lower_cholesky_triangle_);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Lhs = Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:55:46: required from here
55 | EigenMap(lower_cholesky_triangle_);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]’
361 | A21.noalias() -= A20 * temp.head(k);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
526 | m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
120 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:46:62: required from here
46 | Eigen::LDLT<MatrixXd> eigen_cholesky_safe(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/Cholesky.cpp:39:54: required from here
39 | Eigen::LLT<MatrixXd> eigen_cholesky(EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/CorrelationMatrix.cpp -o LinAlg/CorrelationMatrix.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/DiagonalMatrix.cpp -o LinAlg/DiagonalMatrix.o
LinAlg/DiagonalMatrix.cpp: In instantiation of ‘void BOOM::{anonymous}::in_place_multiplication(const BOOM::Vector&, VECTOR&) [with VECTOR = BOOM::Vector]’:
LinAlg/DiagonalMatrix.cpp:199:28: required from here
199 | in_place_multiplication(diagonal_elements_, v);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
LinAlg/DiagonalMatrix.cpp:192:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
192 | for (int i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
LinAlg/DiagonalMatrix.cpp: In instantiation of ‘void BOOM::{anonymous}::in_place_multiplication(const BOOM::Vector&, VECTOR&) [with VECTOR = BOOM::VectorView]’:
LinAlg/DiagonalMatrix.cpp:203:28: required from here
203 | in_place_multiplication(diagonal_elements_, v);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
LinAlg/DiagonalMatrix.cpp:189:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
189 | if (diag.size() != v.size()) {
| ~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/DiagonalMatrix.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::mult_impl(const BOOM::DiagonalMatrix&, const VECTOR&) [with VECTOR = BOOM::Vector]’:
LinAlg/DiagonalMatrix.cpp:207:21: required from here
207 | return mult_impl(*this, v);
| ~~~~~~~~~^~~~~~~~~~
LinAlg/DiagonalMatrix.cpp:175:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
175 | if (v.size() != mat.ncol()) {
| ~~~~~~~~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Eigen.cpp -o LinAlg/Eigen.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/Eigen/Eigenvalues:11,
from LinAlg/Eigen.cpp:22:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from ‘class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >’
277 | VectorType m_temp;
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >’
230 | HessenbergDecomposition<MatrixType> m_hess;
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >’
316 | RealSchur<MatrixType> m_realSchur;
| ^~~~~~~~~~~
LinAlg/Eigen.cpp:37:40: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
92 | >::type DiagonalReturnType;
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
| ^~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:102:9: required from here
102 | EigenMap(matrix),
| ^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
97 | >::type SubDiagonalReturnType;
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
| ^~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:102:9: required from here
102 | EigenMap(matrix),
| ^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:357:32: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]’
357 | matV.col(j) = m_eivec.col(j).template cast<ComplexScalar>();
| ~~~~~~~~~~~^~~
LinAlg/Eigen.cpp:48:53: required from here
48 | const auto &eigen_vectors = eigen.eigenvectors();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
453 | RealScalar scale = mat.cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~~~^~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~~~^~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >’
50 | template<typename Derived> class ReturnByValue
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >’
339 | template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:23: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
| ~~~~~~~~~~^~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:34: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:65: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1));
| ~~~~~~~~~~^~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:76: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1));
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:598:25: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
598 | m_matT.block(i, n-1, size-i, 2) /= t;
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:39: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = std::complex<double>]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:147:18: required from ‘void Eigen::MatrixBase<Derived>::normalize() [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]’
147 | RealScalar z = squaredNorm();
| ^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:358:28: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]’
358 | matV.col(j).normalize();
| ~~~~~~~~~~~~~~~~~~~~~^~
LinAlg/Eigen.cpp:48:53: required from here
48 | const auto &eigen_vectors = eigen.eigenvectors();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
398 | TriangularViewType& operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
455 | mat.template triangularView<Lower>() /= scale;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
563 | diag.segment(i,n-i).minCoeff(&k);
| ~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
463 | m_eivalues *= scale;
| ~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
297 | dst.diagonal().setOnes();
| ~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 3>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 3, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo;
| ^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 3, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo;
| ^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo;
| ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:281:10: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
281 | m_matT *= scale;
| ~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
451 | subdiag = mat.template diagonal<-1>().real();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:166:82: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
166 | Block<Derived, Derived::RowsAtCompileTime, EssentialPart::SizeAtCompileTime> right(derived(), 0, 1, rows(), cols()-1);
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:27: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:168:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
168 | tmp += this->col(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
169 | this->col(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
169 | this->col(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:170:53: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:170:34: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
127 | Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::Scalar = double]’
370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
309 | Scalar norm = computeNormOfT();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:512:37: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
512 | v = m_matT.template block<3,1>(k,k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:515:26: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
515 | Matrix<Scalar, 2, 1> ess;
| ^~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:515:26: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
515 | Matrix<Scalar, 2, 1> ess;
| ^~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:533:54: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
533 | Matrix<Scalar, 2, 1> v = m_matT.template block<2,1>(iu-1, iu-2);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
535 | Matrix<Scalar, 1, 1> ess;
| ^~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
535 | Matrix<Scalar, 1, 1> ess;
| ^~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’
313 | ColXpr x(this->col(p));
| ^
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
895 | q.applyOnTheRight(k,k+1,rot);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
548 | internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
846 | return m = Derived::Identity(m.rows(), m.cols());
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
875 | return internal::setIdentity_impl<Derived>::run(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
892 | return setIdentity();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:263:25: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
263 | m_matU.setIdentity(matrix.rows(),matrix.cols());
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
| ^~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
306 | matA.col(i).coeffRef(i+1) = beta;
| ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’
417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
332 | splitOffTwoRows(iu, computeU, exshift);
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
516 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
516 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 3, 1>; Scalar = double; RealScalar = double]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
516 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
536 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
536 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Matrix<double, 2, 1>; Scalar = double; RealScalar = double]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
536 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
895 | q.applyOnTheRight(k,k+1,rot);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
548 | internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
323 | this->visit(minVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
496 | return minCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
563 | diag.segment(i,n-i).minCoeff(&k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]’
299 | internal::apply_rotation_in_the_plane(x, y, j);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’
417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
332 | splitOffTwoRows(iu, computeU, exshift);
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’
418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
332 | splitOffTwoRows(iu, computeU, exshift);
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Scalar = double]’
418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
332 | splitOffTwoRows(iu, computeU, exshift);
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
516 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
536 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, std::complex<double> >’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = assign_op<std::complex<double>, std::complex<double> >]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = assign_op<std::complex<double>, std::complex<double> >]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = assign_op<std::complex<double>, std::complex<double> >; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:357:19: required from ‘Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]’
357 | matV.col(j) = m_eivec.col(j).template cast<ComplexScalar>();
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:48:53: required from here
48 | const auto &eigen_vectors = eigen.eigenvectors();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
453 | RealScalar scale = mat.cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
516 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
536 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::Scalar = double]’
370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
309 | Scalar norm = computeNormOfT();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
516 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
536 | v.makeHouseholder(ess, tau, beta);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:533:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
533 | Matrix<Scalar, 2, 1> v = m_matT.template block<2,1>(iu-1, iu-2);
| ^
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:512:9: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
512 | v = m_matT.template block<3,1>(k,k-1);
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:305:59: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
305 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
527 | typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’
526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’
526 | typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
447 | doComputeEigenvectors();
| ^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:337:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
157 | gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
157 | gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:166:
../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | compute(matrix.derived(), options);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:104:33: required from here
104 | ::Eigen::EigenvaluesOnly);
| ^
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
500 | return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
206 | actualPanelWidth, actualPanelWidth, cols, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | actualPanelWidth, actual_kc, 0, blockBOffset);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
317 | matA.rightCols(remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long int]’
618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; CoeffReturnType = double; Eigen::Index = long int]’
618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]’
313 | matA.bottomRightCorner(remainingSize, remainingSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
314 | .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
161 | _compute(m_matrix, m_hCoeffs, m_temp);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
271 | m_hess.compute(matrix.derived()/scale);
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]’
542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:320:29: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
320 | applyThisOnTheLeft(dst,workspace,true);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
389 | m_realSchur.compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
156 | compute(matrix.derived(), computeEigenvectors);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Eigen.cpp:37:62: required from here
37 | Eigen::EigenSolver<MatrixXd> eigen(EigenMap(mat), vectors);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:341:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Givens.cpp -o LinAlg/Givens.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/LinAlg/EigenMap.hpp:22,
from LinAlg/Givens.cpp:23:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/LU.cpp -o LinAlg/LU.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/LinAlg/EigenMap.hpp:22,
from LinAlg/LU.cpp:20:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
LinAlg/LU.cpp:45:36: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
LinAlg/LU.cpp:57:36: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:22: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~~~~~~~~~~^~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:601:21: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~^~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:601:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ^~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:605:23: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
605 | res = m_p.inverse() * res;
| ~~~~~~~~~~~~~~^~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:608:13: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
608 | res = res * m_q.inverse();
| ~~~~^~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:585:49: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::FullPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
585 | return Scalar(m_det_pq) * Scalar(m_lu.diagonal().prod());
| ~~~~~~~~~~~~~^~
LinAlg/LU.cpp:71:33: required from here
71 | return dcmp_.determinant();
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:495:28: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:519:47: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k)
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
520 | .unaryExpr(Scoring())
| ~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:547:15: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
547 | m_lu.row(k).swap(m_lu.row(row_of_biggest_in_corner));
| ~~~~~~~~^~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:551:15: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
551 | m_lu.col(k).swap(m_lu.col(col_of_biggest_in_corner));
| ~~~~~~~~^~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:559:23: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:103: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:85: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/TriangularMatrix.h:807:20: required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 5; bool SetOpposite = true; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]’
807 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:832:52: required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&) [with int Mode = 5; bool SetOpposite = true; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
832 | call_triangular_assignment_loop<Mode,SetOpposite>(dst, src, internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:954:123: required from ‘void Eigen::TriangularBase<Derived>::evalToLazy(Eigen::MatrixBase<OtherDerived>&) const [with DenseDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 5>]’
954 | internal::call_triangular_assignment_loop<Derived::Mode, (int(Derived::Mode) & int(SelfAdjoint)) == 0 /* SetOpposite */>(other.derived(), derived().nestedExpression());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:121:17: required from ‘Eigen::TriangularBase<Derived>::DenseMatrixType Eigen::TriangularBase<Derived>::toDenseMatrix() const [with Derived = Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 5>; DenseMatrixType = Eigen::Matrix<double, -1, -1>]’
121 | evalToLazy(res);
| ~~~~~~~~~~^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:600:64: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/TriangularMatrix.h:807:20: required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
807 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:832:52: required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
832 | call_triangular_assignment_loop<Mode,SetOpposite>(dst, src, internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:954:123: required from ‘void Eigen::TriangularBase<Derived>::evalToLazy(Eigen::MatrixBase<OtherDerived>&) const [with DenseDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>]’
954 | internal::call_triangular_assignment_loop<Derived::Mode, (int(Derived::Mode) & int(SelfAdjoint)) == 0 /* SetOpposite */>(other.derived(), derived().nestedExpression());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:121:17: required from ‘Eigen::TriangularBase<Derived>::DenseMatrixType Eigen::TriangularBase<Derived>::toDenseMatrix() const [with Derived = Eigen::TriangularView<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>; DenseMatrixType = Eigen::Matrix<double, -1, -1>]’
121 | evalToLazy(res);
| ~~~~~~~~~~^~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:602:60: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:348:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*, IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
348 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:491:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*, IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
491 | return maxCoeff<PropagateFast>(row, col);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:521:34: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
520 | .unaryExpr(Scoring())
| ~~~~~~~~~~~~~~~~~~~~~
521 | .maxCoeff(&row_of_biggest_in_corner, &col_of_biggest_in_corner);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:547:23: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
547 | m_lu.row(k).swap(m_lu.row(row_of_biggest_in_corner));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:551:23: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
551 | m_lu.col(k).swap(m_lu.col(col_of_biggest_in_corner));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
274 | evaluator<Rhs> rhsEval(rhs);
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>]’
329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Matrix<double, -1, -1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:605:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
605 | res = m_p.inverse() * res;
| ~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:608:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
608 | res = res * m_q.inverse();
| ~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:608:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
608 | res = res * m_q.inverse();
| ~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:495:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Side = 1; int Mode = 5]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Side = 1; int Mode = 5]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Side = 1; int Mode = 5]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:774:20: required from ‘void Eigen::FullPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
772 | m_lu.topLeftCorner(smalldim,smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
773 | .template triangularView<UnitLower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
774 | .solveInPlace(c.topRows(smalldim));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
78 | gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
851 | call_assignment_no_alias(dst, tmp, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:774:20: required from ‘void Eigen::FullPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
772 | m_lu.topLeftCorner(smalldim,smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
773 | .template triangularView<UnitLower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
774 | .solveInPlace(c.topRows(smalldim));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:774:20: required from ‘void Eigen::FullPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
772 | m_lu.topLeftCorner(smalldim,smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
773 | .template triangularView<UnitLower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
774 | .solveInPlace(c.topRows(smalldim));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
165 | actualPanelWidth, actual_kc, 0, blockBOffset);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 5]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:774:20: required from ‘void Eigen::FullPivLU<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
772 | m_lu.topLeftCorner(smalldim,smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
773 | .template triangularView<UnitLower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
774 | .solveInPlace(c.topRows(smalldim));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:495:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:61:75: required from ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double>, 4>’
61 | typedef typename find_best_packet<DstScalar,RestrictedLinearSize>::type LinearPacketType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:736:51: required from ‘class Eigen::internal::restricted_packet_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, Eigen::internal::assign_op<double, double> >’
736 | typedef typename AssignmentTraits::PacketType PacketType;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:908:12: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>; Func = assign_op<double, double>]’
908 | Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
| ^~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
462 | call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
446 | eval_dynamic_impl(dst,
| ~~~~~~~~~~~~~~~~~^~~~~
447 | blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | func,
| ~~~~~
450 | actualAlpha,
| ~~~~~~~~~~~~
451 | typename conditional<HasScalarFactor,true_type,false_type>::type());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:608:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
608 | res = res * m_q.inverse();
| ~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:495:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
122 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
470 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:30:46: required from here
30 | explicit LU_impl_(const Matrix &foo) : dcmp_(EigenMap(foo)) {
| ^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:608:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
608 | res = res * m_q.inverse();
| ~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/LU/FullPivLU.h:599:7: required from ‘MatrixType Eigen::FullPivLU<MatrixType>::reconstructedMatrix() const [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
599 | res = m_lu.leftCols(smalldim)
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
600 | .template triangularView<UnitLower>().toDenseMatrix()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
601 | * m_lu.topRows(smalldim)
| ~~~~~~~~~~~~~~~~~~~~~~~~
602 | .template triangularView<Upper>().toDenseMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:66:50: required from here
66 | EigenMap(ans) = dcmp_.reconstructedMatrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:45:50: required from here
45 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/LU.cpp:57:50: required from here
57 | EigenMap(ans) = dcmp_.solve(EigenMap(rhs));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Matrix.cpp -o LinAlg/Matrix.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/Eigen/LU:11,
from LinAlg/Matrix.cpp:42:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp: In constructor ‘BOOM::Matrix::Matrix(const std::string&, const std::string&)’:
LinAlg/Matrix.cpp:107:30: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
107 | } else if (v[i].size() != nc_) {
| ~~~~~~~~~~~~^~~~~~
LinAlg/Matrix.cpp: In constructor ‘BOOM::Matrix::Matrix(const std::initializer_list<std::initializer_list<double> >&)’:
LinAlg/Matrix.cpp:152:39: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
152 | if (row_vectors.back().size() != nc_) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
LinAlg/Matrix.cpp:163:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
163 | for (size_t r = 0; r < nr_; ++r) {
| ~~^~~~~
LinAlg/Matrix.cpp: In member function ‘BOOM::Matrix& BOOM::Matrix::rbind(const BOOM::Vector&)’:
LinAlg/Matrix.cpp:350:25: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
350 | } else if (A.size() != ncol()) {
| ~~~~~~~~~^~~~~~~~~
LinAlg/Matrix.cpp:354:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
354 | for (int i = 0; i < A.size(); ++i) {
| ~~^~~~~~~~~~
LinAlg/Matrix.cpp: In member function ‘BOOM::Matrix& BOOM::Matrix::cbind(const BOOM::Vector&)’:
LinAlg/Matrix.cpp:380:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
380 | if (A.size() != nrow()) {
| ~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:625:49: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/Matrix.cpp:631:46: required from here
631 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(B) * scal;
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:631:61: required from here
631 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(B) * scal;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:631:65: required from here
631 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:637:61: required from here
637 | EigenMap(ans) = EigenMap(*this) * EigenMap(B).transpose() * scal;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:637:65: required from here
637 | EigenMap(ans) = EigenMap(*this) * EigenMap(B).transpose() * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:646:27: required from here
646 | EigenMap(*this) * scal * EigenMap(S).selfadjointView<Eigen::Upper>();
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:646:76: required from here
646 | EigenMap(*this) * scal * EigenMap(S).selfadjointView<Eigen::Upper>();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:706:49: required from here
706 | EigenMap(ans) = EigenMap(*this) * EigenMap(v) * scal;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:706:53: required from here
706 | EigenMap(ans) = EigenMap(*this) * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:706:53: required from here
706 | EigenMap(ans) = EigenMap(*this) * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:712:61: required from here
712 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(v) * scal;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:712:65: required from here
712 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
LinAlg/Matrix.cpp:805:57: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
LinAlg/Matrix.cpp:812:57: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
440 | RowVectorType m_temp;
| ^~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:246:10: required from ‘struct Eigen::internal::qr_preconditioner_impl<Eigen::Matrix<double, -1, -1>, 2, 0, true>’
246 | QRType m_qr;
| ^~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:609:110: required from ‘class Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1>, 2>’
609 | internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreColsThanRows> m_qr_precond_morecols;
| ^~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:9: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:866:38: required from here
866 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/Matrix.cpp:866:63: required from here
866 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:866:64: required from here
866 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/Matrix.cpp:872:63: required from here
872 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:872:64: required from here
872 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:878:38: required from here
878 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:878:64: required from here
878 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:884:64: required from here
884 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:36: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp: In constructor ‘BOOM::LabeledMatrix::LabeledMatrix(const BOOM::Matrix&, const std::vector<std::__cxx11::basic_string<char> >&, const std::vector<std::__cxx11::basic_string<char> >&)’:
LinAlg/Matrix.cpp:1232:48: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1232 | if (!row_names.empty() && row_names.size() != m.nrow()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/Matrix.cpp:1237:48: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1237 | if (!col_names.empty() && col_names.size() != m.ncol()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/Matrix.cpp: In member function ‘virtual std::ostream& BOOM::LabeledMatrix::display(std::ostream&, int) const’:
LinAlg/Matrix.cpp:1248:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1248 | for (int i = 0; i < row_names_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1257:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1257 | for (int i = 0; i < col_names_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:1326:57: required from here
1326 | EigenMap(ans) = EigenMap(m).transpose() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:1333:45: required from here
1333 | EigenMap(ans) = EigenMap(m) * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:1524:76: required from here
1524 | EigenMap(ans) = EigenMap(L).triangularView<Eigen::Lower>() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:1532:76: required from here
1532 | EigenMap(L).triangularView<Eigen::Lower>().transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:1582:76: required from here
1582 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
LinAlg/Matrix.cpp:1205:68: required from here
1205 | double Matrix::sumsq() const { return EigenMap(*this).squaredNorm(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:37: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
691 | m_scaledMatrix = matrix / scale;
| ~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:32: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:758:35: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a;
| ~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
765 | if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:777:65: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1203:69: required from here
1203 | double Matrix::abs_norm() const { return EigenMap(*this).lpNorm<1>(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
72 | typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
91 | gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
92 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
92 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:228:33: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
228 | m_adjoint = matrix.adjoint();
| ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:345:58: required from ‘class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, Eigen::Dense>’
345 | template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_MatrixType,_Mode,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 2> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 2>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
25 | Matrix<RealScalar,2,2> m;
| ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 2>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
25 | Matrix<RealScalar,2,2> m;
| ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
297 | RowXpr x(this->row(p));
| ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
733 | m_workMatrix.applyOnTheLeft(p,q,j_left);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:758:39: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/SolveTriangular.h:69:7: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
69 | MappedRhs(actualRhs,rhs.size()) = rhs;
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
114 | (std::min)(size,i2), alpha, -1, -1, 0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
297 | dst.diagonal().setOnes();
| ~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:303:34: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:310:26: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
310 | dst.col(k).tail(rows()-k-1).setZero();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
297 | RowXpr x(this->row(p));
| ^
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
297 | RowXpr x(this->row(p));
| ^
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
299 | internal::apply_rotation_in_the_plane(x, y, j);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
733 | m_workMatrix.applyOnTheLeft(p,q,j_left);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:734:53: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
734 | if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
97 | const LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));
| ^~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:77: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:88: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:134:115: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
134 | general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
135 | r, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~
136 | LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
137 | RhsMapper(rhs+startBlock, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
138 | rhs+endBlock, 1, RhsScalar(-1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
39 | const LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));
| ^~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
39 | const LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));
| ^~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:31: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:42: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:166:82: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
166 | Block<Derived, Derived::RowsAtCompileTime, EssentialPart::SizeAtCompileTime> right(derived(), 0, 1, rows(), cols()-1);
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:27: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:168:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
168 | tmp += this->col(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
169 | this->col(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:170:53: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:170:34: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
127 | Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
846 | return m = Derived::Identity(m.rows(), m.cols());
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
875 | return internal::setIdentity_impl<Derived>::run(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
892 | return setIdentity();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:698:45: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
698 | if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
299 | internal::apply_rotation_in_the_plane(x, y, j);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
374 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:777:88: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
LinAlg/Matrix.cpp:1205:68: required from here
1205 | double Matrix::sumsq() const { return EigenMap(*this).squaredNorm(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Side = 1; int Mode = 1]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1556:60: required from here
1556 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(B));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Side = 1; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1562:72: required from here
1562 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1563 | EigenMap(B));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
171 | buffer.setZero();
| ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:789:61: required from here
789 | EigenMap(ans).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(*this),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
790 | 1.0);
| ~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
463 | BlockType A_0 = lu.block(0,0,rows,k);
| ^~~
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:69: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:812:69: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:406:42: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; Scalar = double]’
406 | { return *this = MatrixType::Constant(derived().rows(), derived().cols(), value); }
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:409:44: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>]’
409 | TriangularViewType& setZero() { return setConstant(Scalar(0)); }
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:298:61: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
298 | dst.template triangularView<StrictlyUpper>().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1203:69: required from here
1203 | double Matrix::abs_norm() const { return EigenMap(*this).lpNorm<1>(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
374 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; unsigned int _Mode = 2]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1544:72: required from here
1544 | EigenMap(L).triangularView<Eigen::Lower>().transpose().solveInPlace(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
1545 | EigenMap(b));
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:866:64: required from here
866 | EigenMap(*this) += w * EigenMap(x) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:56: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:56: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Side = 1; int Mode = 1]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Matrix.cpp:1538:60: required from here
1538 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(b));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
511 | RealScalar threshold_helper = numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:168:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
168 | tmp += this->col(0);
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; RhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
| ~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:646:76: required from here
646 | EigenMap(*this) * scal * EigenMap(S).selfadjointView<Eigen::Upper>();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1326:57: required from here
1326 | EigenMap(ans) = EigenMap(m).transpose() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1333:45: required from here
1333 | EigenMap(ans) = EigenMap(m) * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
274 | evaluator<Rhs> rhsEval(rhs);
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’
329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1326:57: required from here
1326 | EigenMap(ans) = EigenMap(m).transpose() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:69: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:812:69: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:812:69: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:812:69: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1326:57: required from here
1326 | EigenMap(ans) = EigenMap(m).transpose() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1333:45: required from here
1333 | EigenMap(ans) = EigenMap(m) * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1333:45: required from here
1333 | EigenMap(ans) = EigenMap(m) * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1524:76: required from here
1524 | EigenMap(ans) = EigenMap(L).triangularView<Eigen::Lower>() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]’
282 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1524:76: required from here
1524 | EigenMap(ans) = EigenMap(L).triangularView<Eigen::Lower>() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:637:65: required from here
637 | EigenMap(ans) = EigenMap(*this) * EigenMap(B).transpose() * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:637:65: required from here
637 | EigenMap(ans) = EigenMap(*this) * EigenMap(B).transpose() * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1524:76: required from here
1524 | EigenMap(ans) = EigenMap(L).triangularView<Eigen::Lower>() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1532:76: required from here
1532 | EigenMap(L).triangularView<Eigen::Lower>().transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1532:76: required from here
1532 | EigenMap(L).triangularView<Eigen::Lower>().transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:706:53: required from here
706 | EigenMap(ans) = EigenMap(*this) * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1326:57: required from here
1326 | EigenMap(ans) = EigenMap(m).transpose() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:921:66: required from here
921 | coefficient * EigenMap(left) * EigenMap(right).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1532:76: required from here
1532 | EigenMap(L).triangularView<Eigen::Lower>().transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:637:65: required from here
637 | EigenMap(ans) = EigenMap(*this) * EigenMap(B).transpose() * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:637:65: required from here
637 | EigenMap(ans) = EigenMap(*this) * EigenMap(B).transpose() * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:706:53: required from here
706 | EigenMap(ans) = EigenMap(*this) * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:712:65: required from here
712 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1589:76: required from here
1589 | EigenMap(ans) = EigenMap(U).triangularView<Eigen::Upper>() * EigenMap(B);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’
515 | partial_lu_impl
| ~~~~~~~~~~~~~~~
516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
517 | typename TranspositionType::StorageIndex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
133 | compute();
| ~~~~~~~^~
../inst/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
315 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
604 | return PartialPivLU<PlainObject>(eval());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:49: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:805:69: required from here
805 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(m));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = swap_assign_op<double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = swap_assign_op<double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>]’
424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:812:69: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]’
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1532:76: required from here
1532 | EigenMap(L).triangularView<Eigen::Lower>().transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:706:53: required from here
706 | EigenMap(ans) = EigenMap(*this) * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; DecType = Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:812:69: required from here
812 | EigenMap(ans) = EigenMap(*this).partialPivLu().solve(EigenMap(v));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1> >, -1, 1, false>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:1524:76: required from here
1524 | EigenMap(ans) = EigenMap(L).triangularView<Eigen::Lower>() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:625:53: required from here
625 | EigenMap(ans) = EigenMap(*this) * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:772:65: required from here
772 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:712:65: required from here
712 | EigenMap(ans) = EigenMap(*this).transpose() * EigenMap(v) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Matrix.cpp:837:67: required from here
837 | EigenMap(*this), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:341:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/MatrixPartition.cpp -o LinAlg/MatrixPartition.o
LinAlg/MatrixPartition.cpp: In constructor ‘BOOM::MatrixPartition::MatrixPartition(BOOM::Matrix*, const std::vector<int>&, const std::vector<int>&)’:
LinAlg/MatrixPartition.cpp:31:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
31 | for (int i = 1; i < row_sizes.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
LinAlg/MatrixPartition.cpp:36:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for (int j = 1; j < col_sizes.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/QR.cpp -o LinAlg/QR.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/Eigen/QR:11,
from LinAlg/QR.cpp:21:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/QR.cpp:46:43: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >’
242 | RowVectorType m_temp;
| ^~~~~~
LinAlg/QR.cpp:77:45: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
LinAlg/QR.cpp:82:33: required from here
82 | EigenMap(R_) = eigen_R.block(0, 0, R_.nrow(), R_.ncol());
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
846 | return m = Derived::Identity(m.rows(), m.cols());
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
875 | return internal::setIdentity_impl<Derived>::run(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:98:25: required from here
98 | eigenQ.setIdentity();
| ~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:343:32: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
343 | Block<HCoeffs,Dynamic,1> hCoeffsSegment = hCoeffs.segment(k,bs);
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
90 | Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
| ^
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>’
187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>’
187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
127 | Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
128 | Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
| ^~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:12: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:20: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~^~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
123 | *this *= Scalar(1)-tau;
| ~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
| ^~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:291:75: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:82:60: required from here
82 | EigenMap(R_) = eigen_R.block(0, 0, R_.nrow(), R_.ncol());
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
306 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:61:75: required from ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >, Eigen::internal::assign_op<double, double>, 4>’
61 | typedef typename find_best_packet<DstScalar,RestrictedLinearSize>::type LinearPacketType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:736:51: required from ‘class Eigen::internal::restricted_packet_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >, Eigen::internal::assign_op<double, double> >’
736 | typedef typename AssignmentTraits::PacketType PacketType;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:908:12: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Func = assign_op<double, double>]’
908 | Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
| ^~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; RhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
462 | call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
446 | eval_dynamic_impl(dst,
| ~~~~~~~~~~~~~~~~~^~~~~
447 | blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | func,
| ~~~~~
450 | actualAlpha,
| ~~~~~~~~~~~~
451 | typename conditional<HasScalarFactor,true_type,false_type>::type());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
157 | gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
157 | gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
206 | actualPanelWidth, actualPanelWidth, cols, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | actualPanelWidth, actual_kc, 0, blockBOffset);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:46:58: required from here
46 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]’
295 | mat.bottomRightCorner(remainingRows, remainingCols)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’
345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
416 | internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
181 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
114 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:77:58: required from here
77 | Eigen::HouseholderQR<MatrixXd> eigen_qr(EigenMap(mat));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
64 | * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/QR.cpp:52:58: required from here
52 | EigenMap(ans) = EigenMap(Q_).transpose() * EigenMap(Y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:542:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, -1>]’
542 | other.derived().applyThisOnTheLeft(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
LinAlg/QR.cpp:99:28: required from here
99 | eigenQ.applyOnTheLeft(eigen_qr.householderQ());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:341:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/SVD.cpp -o LinAlg/SVD.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/Eigen/QR:11,
from ../inst/include/Eigen/SVD:11,
from LinAlg/SVD.cpp:21:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >’
440 | RowVectorType m_temp;
| ^~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:246:10: required from ‘struct Eigen::internal::qr_preconditioner_impl<Eigen::Matrix<double, -1, -1>, 2, 0, true>’
246 | QRType m_qr;
| ^~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:609:110: required from ‘class Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1>, 2>’
609 | internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreColsThanRows> m_qr_precond_morecols;
| ^~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:9: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/SVD.cpp: In member function ‘BOOM::Vector BOOM::SingularValueDecomposition::solve(const BOOM::Vector&, double) const’:
LinAlg/SVD.cpp:69:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
69 | for (uint i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:37: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
691 | m_scaledMatrix = matrix / scale;
| ~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
691 | m_scaledMatrix = matrix / scale;
| ~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:32: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:758:35: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a;
| ~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
765 | if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:777:65: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:228:33: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
228 | m_adjoint = matrix.adjoint();
| ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:345:58: required from ‘class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, Eigen::Dense>’
345 | template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_MatrixType,_Mode,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>’
187 | template<typename _MatrixType, unsigned int _Mode> class TriangularView
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 2, 2> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 2>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
25 | Matrix<RealScalar,2,2> m;
| ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 2, 2>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
25 | Matrix<RealScalar,2,2> m;
| ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
297 | RowXpr x(this->row(p));
| ^
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
733 | m_workMatrix.applyOnTheLeft(p,q,j_left);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:758:39: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a;
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
297 | dst.diagonal().setOnes();
| ~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:303:34: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:310:26: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
310 | dst.col(k).tail(rows()-k-1).setZero();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
297 | RowXpr x(this->row(p));
| ^
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 2>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
297 | RowXpr x(this->row(p));
| ^
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
299 | internal::apply_rotation_in_the_plane(x, y, j);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
733 | m_workMatrix.applyOnTheLeft(p,q,j_left);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:734:53: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
734 | if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:166:82: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
166 | Block<Derived, Derived::RowsAtCompileTime, EssentialPart::SizeAtCompileTime> right(derived(), 0, 1, rows(), cols()-1);
| ^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:27: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:168:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
168 | tmp += this->col(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
169 | this->col(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
169 | this->col(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:170:53: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:170:34: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
127 | Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
90 | Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
| ^
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~^~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
846 | return m = Derived::Identity(m.rows(), m.cols());
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
875 | return internal::setIdentity_impl<Derived>::run(derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
892 | return setIdentity();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:698:45: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
698 | if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >’:
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long int]’
299 | internal::apply_rotation_in_the_plane(x, y, j);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
374 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:777:88: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:406:42: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; Scalar = double]’
406 | { return *this = MatrixType::Constant(derived().rows(), derived().cols(), value); }
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:409:44: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>]’
409 | TriangularViewType& setZero() { return setConstant(Scalar(0)); }
| ^~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:298:61: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
298 | dst.template triangularView<StrictlyUpper>().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
374 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
79 | Scalar c0 = coeff(0);
| ~~~~~^~~
../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
511 | RealScalar threshold_helper = numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:168:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
168 | tmp += this->col(0);
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
130 | tmp += this->row(0);
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
157 | gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
157 | gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
206 | actualPanelWidth, actualPanelWidth, cols, alpha,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | actualPanelWidth, actual_kc, 0, blockBOffset);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
167 | tmp.noalias() = right * essential;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
170 | right.noalias() -= tau * tmp * essential.adjoint();
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
303 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
769 | triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
770 | ::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
129 | tmp.noalias() = essential.adjoint() * bottom;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
306 | dst.bottomRightCorner(cornerSize, cornerSize)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
103 | mat.noalias() -= V * tmp;
| ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | m_qr.bottomRightCorner(rows-k, cols-k-1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
477 | computeInPlace();
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
| ^~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
101 | if(forward) tmp = T.template triangularView<Upper>() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
102 | else tmp = T.template triangularView<Upper>().adjoint() * tmp;
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SVD.cpp:39:63: required from here
39 | EigenMap(m), Eigen::ComputeThinU | Eigen::ComputeThinV);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:341:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/SWEEP.cpp -o LinAlg/SWEEP.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Selector.cpp -o LinAlg/Selector.o
LinAlg/Selector.cpp: In constructor ‘BOOM::Selector::Selector(const std::vector<long int>&, BOOM::uint)’:
LinAlg/Selector.cpp:87:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<long int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
87 | for (uint i = 0; i < pos.size(); ++i) add(pos[i]);
| ~~^~~~~~~~~~~~
LinAlg/Selector.cpp: In member function ‘BOOM::Selector& BOOM::Selector::append(const BOOM::Selector&)’:
LinAlg/Selector.cpp:115:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
115 | for (int i = 0; i < rhs.included_positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp: In member function ‘BOOM::Vector BOOM::Selector::select_if_needed(const BOOM::Vector&) const’:
LinAlg/Selector.cpp:385:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
385 | if (x.size() == nvars()) {
| ~~~~~~~~~^~~~~~~~~~
LinAlg/Selector.cpp: In member function ‘void BOOM::Selector::sparse_multiply(const BOOM::Matrix&, const BOOM::Vector&, BOOM::VectorView) const’:
LinAlg/Selector.cpp:565:38: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
565 | bool v_already_sparse = v.size() == nvars();
| ~~~~~~~~~^~~~~~~~~~
LinAlg/Selector.cpp:571:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
571 | for (int i = 0; i < included_positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp: In member function ‘bool BOOM::SelectorMatrix::all_in() const’:
LinAlg/Selector.cpp:705:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Selector>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
705 | for (int i = 0; i < columns_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp: In member function ‘bool BOOM::SelectorMatrix::all_out() const’:
LinAlg/Selector.cpp:714:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Selector>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
714 | for (int i = 0; i < columns_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp: In member function ‘BOOM::Matrix BOOM::SelectorMatrix::expand(const BOOM::Vector&) const’:
LinAlg/Selector.cpp:782:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
782 | if (values.size() != nvars()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~
LinAlg/Selector.cpp: In function ‘bool BOOM::check_vec(const Vector&, int, const Vector&)’:
LinAlg/Selector.cpp:835:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
835 | for (uint i = 0; i < small.size(); ++i) {
| ~~^~~~~~~~~~~~~~
LinAlg/Selector.cpp:837:13: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
837 | if (I >= big.size()) return false;
| ~~^~~~~~~~~~~~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::do_sparse_dot_product(const BOOM::Selector&, const VEC1&, const VEC2&) [with VEC1 = BOOM::Vector; VEC2 = BOOM::Vector]’:
LinAlg/Selector.cpp:614:33: required from here
614 | return do_sparse_dot_product(*this, full, sparse);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp:601:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
601 | if (full.size() != n || sparse.size() > n) {
| ~~~~~~~~~~~~^~~~
LinAlg/Selector.cpp:601:45: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
601 | if (full.size() != n || sparse.size() > n) {
| ~~~~~~~~~~~~~~^~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::do_sparse_dot_product(const BOOM::Selector&, const VEC1&, const VEC2&) [with VEC1 = BOOM::Vector; VEC2 = BOOM::VectorView]’:
LinAlg/Selector.cpp:618:33: required from here
618 | return do_sparse_dot_product(*this, full, sparse);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp:601:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
601 | if (full.size() != n || sparse.size() > n) {
| ~~~~~~~~~~~~^~~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::do_sparse_dot_product(const BOOM::Selector&, const VEC1&, const VEC2&) [with VEC1 = BOOM::Vector; VEC2 = BOOM::ConstVectorView]’:
LinAlg/Selector.cpp:622:33: required from here
622 | return do_sparse_dot_product(*this, full, sparse);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp:601:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
601 | if (full.size() != n || sparse.size() > n) {
| ~~~~~~~~~~~~^~~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::do_sparse_dot_product(const BOOM::Selector&, const VEC1&, const VEC2&) [with VEC1 = BOOM::VectorView; VEC2 = BOOM::Vector]’:
LinAlg/Selector.cpp:626:33: required from here
626 | return do_sparse_dot_product(*this, full, sparse);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp:601:45: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
601 | if (full.size() != n || sparse.size() > n) {
| ~~~~~~~~~~~~~~^~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::do_sparse_dot_product(const BOOM::Selector&, const VEC1&, const VEC2&) [with VEC1 = BOOM::ConstVectorView; VEC2 = BOOM::Vector]’:
LinAlg/Selector.cpp:638:33: required from here
638 | return do_sparse_dot_product(*this, full, sparse);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/Selector.cpp:601:45: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
601 | if (full.size() != n || sparse.size() > n) {
| ~~~~~~~~~~~~~~^~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::sparse_sum_impl(const BOOM::Selector&, const VECTOR&) [with VECTOR = BOOM::VectorView]’:
LinAlg/Selector.cpp:668:27: required from here
668 | return sparse_sum_impl(*this, v);
| ~~~~~~~~~~~~~~~^~~~~~~~~~
LinAlg/Selector.cpp:653:20: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
653 | if (v.size() != n) {
| ~~~~~~~~~^~~~
LinAlg/Selector.cpp: In instantiation of ‘double BOOM::{anonymous}::sparse_sum_impl(const BOOM::Selector&, const VECTOR&) [with VECTOR = BOOM::ConstVectorView]’:
LinAlg/Selector.cpp:671:27: required from here
671 | return sparse_sum_impl(*this, v);
| ~~~~~~~~~~~~~~~^~~~~~~~~~
LinAlg/Selector.cpp:653:20: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
653 | if (v.size() != n) {
| ~~~~~~~~~^~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/SpdMatrix.cpp -o LinAlg/SpdMatrix.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/Eigen/Cholesky:11,
from LinAlg/SpdMatrix.cpp:34:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/SpdMatrix.cpp:158:32: required from here
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >’
59 | template<typename Derived> class RefBase
| ^~~~~~~
../inst/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1> >’
281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
| ^~~
LinAlg/SpdMatrix.cpp:241:52: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:248:51: required from here
248 | eigen_chol.solve(Eigen::MatrixXd::Identity(nrow(), nrow()));
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
LinAlg/SpdMatrix.cpp:248:25: required from here
248 | eigen_chol.solve(Eigen::MatrixXd::Identity(nrow(), nrow()));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp: In member function ‘BOOM::Vector BOOM::SpdMatrix::solve(const BOOM::Vector&, bool&) const’:
LinAlg/SpdMatrix.cpp:331:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
331 | if (rhs.size() != this->ncol()) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/SpdMatrix.cpp:476:30: required from here
476 | EigenMap(x).transpose(), w);
| ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/SpdMatrix.cpp:486:65: required from here
486 | EigenMap(*this) += w * (EigenMap(A).transpose() * EigenMap(B) +
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:65: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/SpdMatrix.cpp:496:65: required from here
496 | EigenMap(*this) += w * (EigenMap(A) * EigenMap(B).transpose() +
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:65: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/SpdMatrix.cpp:533:69: required from here
533 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(B) * scal;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:533:73: required from here
533 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/SpdMatrix.cpp:581:69: required from here
581 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/SpdMatrix.cpp:696:77: required from here
696 | EigenMap(ans) = EigenMap(A) * EigenMap(V).selfadjointView<Eigen::Upper>() *
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
506 | >::type DirectLinearAccessType;
| ^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
89 | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:33: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:91: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:48:83: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 2>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
48 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.head(i+1)
| ~~~~~~^~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; DerivedV = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:504:63: required from here
504 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
505 | EigenMap(x), EigenMap(y), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:48:75: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 2>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
48 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.head(i+1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; DerivedV = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:504:63: required from here
504 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
505 | EigenMap(x), EigenMap(y), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:48:75: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 2>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
48 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.head(i+1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; DerivedV = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:504:63: required from here
504 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
505 | EigenMap(x), EigenMap(y), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:49:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 2>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
48 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.head(i+1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
49 | + (alpha * numext::conj(v.coeff(i))) * u.head(i+1);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; DerivedV = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:504:63: required from here
504 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
505 | EigenMap(x), EigenMap(y), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
72 | typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
92 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
92 | gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, false>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
91 | gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
| ^~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:453:63: required from here
453 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(X), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
114 | (std::min)(size,i2), alpha, -1, -1, 0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 4>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:358:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
358 | Block<MatrixType,Dynamic,Dynamic> A11(m,k, k, bs,bs);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:27: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 2; bool ConjLhs = false; bool ConjRhs = false]’
33 | += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
75 | selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:385:61: required from ‘void BOOM::{anonymous}::add_outer_impl(BOOM::SpdMatrix&, const V&, double) [with V = BOOM::Vector]’
385 | EigenMap(S).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(v), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:409:27: required from here
409 | add_outer_impl<Vector>(*this, v, w);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:453:63: required from here
453 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(EigenMap(X), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
323 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
323 | Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:324:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
324 | Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:325:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
325 | Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
| ^~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Side = 1; int Mode = 1]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1> >; _MatrixType = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int _Mode = 1]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/SpdMatrix.cpp:685:60: required from here
685 | EigenMap(L).triangularView<Eigen::Lower>().solveInPlace(EigenMap(ans));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’
171 | buffer.setZero();
| ~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 2; typename MatrixType::Scalar = double]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:157:63: required from here
157 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
158 | EigenMap(tmp).transpose(), 1.0);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
333 | if (rs>0) A21 /= x;
| ~~~~^~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<double, long int, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 4, 1, false, true>’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
233 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
147 | src.dec()._solve_impl(src.rhs(), dst);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:248:67: required from here
248 | eigen_chol.solve(Eigen::MatrixXd::Identity(nrow(), nrow()));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:47:57: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 2>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
47 | Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i, i+1) +=
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
48 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.head(i+1)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
49 | + (alpha * numext::conj(v.coeff(i))) * u.head(i+1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; DerivedV = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; unsigned int UpLo = 2; Scalar = double]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:504:63: required from here
504 | EigenMap(*this).selfadjointView<Eigen::Upper>().rankUpdate(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
505 | EigenMap(x), EigenMap(y), w);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
328 | if (k>0) x -= A10.squaredNorm();
| ~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’:
../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
320 | actualPanelWidth, actual_mc,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
321 | actual_kc, j2);
| ~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:440:14: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
440 | m_matrix = a.derived();
| ~~~~~~~~~^~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
333 | if (rs>0) A21 /= x;
| ~~~~^~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Scalar = double]’
41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
333 | if (rs>0) A21 /= x;
| ~~~~^~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:581:69: required from here
581 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
87 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
252 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
253 | <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
254 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
257 | dest.data(), 1,
| ~~~~~~~~~~~~~~~
258 | compatibleAlpha);
| ~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:61:75: required from ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >, Eigen::internal::assign_op<double, double>, 4>’
61 | typedef typename find_best_packet<DstScalar,RestrictedLinearSize>::type LinearPacketType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:736:51: required from ‘class Eigen::internal::restricted_packet_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >, Eigen::internal::assign_op<double, double> >’
736 | typedef typename AssignmentTraits::PacketType PacketType;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:908:12: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>; Func = assign_op<double, double>]’
908 | Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
| ^~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; LhsT = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; RhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
462 | call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
446 | eval_dynamic_impl(dst,
| ~~~~~~~~~~~~~~~~~^~~~~
447 | blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
449 | func,
| ~~~~~
450 | actualAlpha,
| ~~~~~~~~~~~~
451 | typename conditional<HasScalarFactor,true_type,false_type>::type());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:337:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:581:69: required from here
581 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:166:
../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:581:69: required from here
581 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(v);
| ^
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
500 | return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:241:53: required from here
241 | Eigen::Ref<Eigen::MatrixXd>(EigenMap(*this)));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:533:73: required from here
533 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:533:73: required from here
533 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = true; bool PanelMode = false]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:394:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]’
394 | pack_lhs_transposed(blockA, lhs_transpose.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int RhsMode = 0; Scalar = double]’
523 | internal::product_selfadjoint_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
524 | EIGEN_LOGICAL_XOR(LhsIsUpper,internal::traits<Lhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
525 | NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits<Rhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
527 | NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
528 | internal::traits<Dest>::Flags&RowMajorBit ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
529 | Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
530 | ::run(
| ~~~~~^
531 | lhs.rows(), rhs.cols(), // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
535 | actualAlpha, blocking // alpha
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
536 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:533:73: required from here
533 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:338:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h: In instantiation of ‘void Eigen::internal::symm_pack_lhs<Scalar, Index, Pack1, Pack2_dummy, StorageOrder>::operator()(Scalar*, const Scalar*, Index, Index, Index) [with Scalar = double; Index = long int; int Pack1 = 4; int Pack2_dummy = 2; int StorageOrder = 1]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:402:17: required from ‘static void Eigen::internal::product_selfadjoint_matrix<Scalar, Index, LhsStorageOrder, true, ConjugateLhs, RhsStorageOrder, false, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]’
402 | pack_lhs(blockA, &lhs(k2,k2), lhsStride, actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int RhsMode = 0; Scalar = double]’
523 | internal::product_selfadjoint_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
524 | EIGEN_LOGICAL_XOR(LhsIsUpper,internal::traits<Lhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
525 | NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits<Rhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
527 | NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
528 | internal::traits<Dest>::Flags&RowMajorBit ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
529 | Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
530 | ::run(
| ~~~~~^
531 | lhs.rows(), rhs.cols(), // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
535 | actualAlpha, blocking // alpha
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
536 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:533:73: required from here
533 | EigenMap(*this).selfadjointView<Eigen::Upper>() * EigenMap(B) * scal;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:48:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
48 | typedef typename unpacket_traits<typename packet_traits<Scalar>::type>::half HalfPacket;
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
49 | typedef typename unpacket_traits<typename unpacket_traits<typename packet_traits<Scalar>::type>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
51 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
52 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:697:43: required from here
697 | EigenMap(A).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:497:66: required from here
497 | EigenMap(B) * EigenMap(A).transpose());
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = add_assign_op<double, double>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/SpdMatrix.cpp:487:66: required from here
487 | EigenMap(B).transpose() * EigenMap(A));
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:339:
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h: In function ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; int UpLo = 2]’:
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
75 | selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:25:15: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 2; bool ConjLhs = false; bool ConjRhs = false]’ declared here
25 | static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha)
| ^~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
75 | selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:25:15: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 2; bool ConjLhs = false; bool ConjRhs = false]’ declared here
25 | static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha)
| ^~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h: In function ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OtherType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int UpLo = 2]’:
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
75 | selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:25:15: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 2; bool ConjLhs = false; bool ConjRhs = false]’ declared here
25 | static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha)
| ^~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
75 | selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
76 | OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:25:15: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 2; bool ConjLhs = false; bool ConjRhs = false]’ declared here
25 | static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha)
| ^~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/SubMatrix.cpp -o LinAlg/SubMatrix.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/Vector.cpp -o LinAlg/Vector.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/LinAlg/EigenMap.hpp:22,
from LinAlg/Vector.cpp:42:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/Vector.cpp: In constructor ‘BOOM::Vector::Vector(const std::string&)’:
LinAlg/Vector.cpp:68:11: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::__cxx11::basic_string<char>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
68 | if (n > s.size()) {
| ~~^~~~~~~~~~
LinAlg/Vector.cpp: In member function ‘std::ostream& BOOM::Vector::write(std::ostream&, bool) const’:
LinAlg/Vector.cpp:211:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
211 | for (uint i = 1; i < size(); ++i) out << " " << operator[](i);
| ~~^~~~~~~~
LinAlg/Vector.cpp: In member function ‘std::istream& BOOM::Vector::read(std::istream&)’:
LinAlg/Vector.cpp:217:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
217 | for (uint i = 0; i < size(); ++i) in >> operator[](i);
| ~~^~~~~~~~
LinAlg/Vector.cpp: In member function ‘BOOM::Vector& BOOM::Vector::operator*=(const BOOM::ConstVectorView&)’:
LinAlg/Vector.cpp:271:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
271 | for (uint i = 0; i < size(); ++i) (*this)[i] *= y[i];
| ~~^~~~~~~~
LinAlg/Vector.cpp: In member function ‘BOOM::Vector& BOOM::Vector::operator/=(const BOOM::ConstVectorView&)’:
LinAlg/Vector.cpp:284:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
284 | for (uint i = 0; i < size(); ++i) (*this)[i] /= y[i];
| ~~^~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Vector.cpp:298:38: required from here
298 | EigenMap(*this) += EigenMap(x) * w;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Vector.cpp:298:38: required from here
298 | EigenMap(*this) += EigenMap(x) * w;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Vector.cpp:304:38: required from here
304 | EigenMap(*this) += EigenMap(x) * w;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/Vector.cpp:314:45: required from here
314 | EigenMap(*this) += EigenMap(X).transpose() * EigenMap(y) * wgt;
| ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Vector.cpp:314:60: required from here
314 | EigenMap(*this) += EigenMap(X).transpose() * EigenMap(y) * wgt;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Vector.cpp:314:64: required from here
314 | EigenMap(*this) += EigenMap(X).transpose() * EigenMap(y) * wgt;
| ^~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Vector.cpp:337:69: required from here
337 | EigenMap(A).selfadjointView<Eigen::Upper>() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/Vector.cpp:359:39: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
LinAlg/Vector.cpp:359:64: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
LinAlg/Vector.cpp:359:65: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/Vector.cpp: In function ‘std::string BOOM::to_Rstring(const Vector&)’:
LinAlg/Vector.cpp:883:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
883 | for (int i = 1; i < v.size(); ++i) {
| ~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:232:24: required from here
232 | EigenMap(*this) *= x;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
LinAlg/Vector.cpp:362:69: required from here
362 | double Vector::normsq() const { return EigenMap(*this).squaredNorm(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from LinAlg/Vector.cpp:35:
../inst/include/cpputil/shift_element.hpp: In instantiation of ‘void BOOM::shift_element(std::vector<_RealType>&, int, int) [with C = double]’:
LinAlg/Vector.cpp:478:26: required from here
478 | ::BOOM::shift_element(*this, from, to);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~~~^~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~^~~~~~~~~~~
LinAlg/Vector.cpp: In instantiation of ‘double BOOM::{anonymous}::dot_impl(const BOOM::Vector&, const V&) [with V = BOOM::Vector]’:
LinAlg/Vector.cpp:519:62: required from here
519 | double Vector::dot(const Vector &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
LinAlg/Vector.cpp:496:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
496 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
LinAlg/Vector.cpp: In instantiation of ‘double BOOM::{anonymous}::dot_impl(const BOOM::Vector&, const V&) [with V = BOOM::VectorView]’:
LinAlg/Vector.cpp:520:66: required from here
520 | double Vector::dot(const VectorView &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
LinAlg/Vector.cpp:484:20: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
484 | if (y.size() != x.size()) {
| ~~~~~~~~~^~~~~~~~~~~
LinAlg/Vector.cpp:496:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
496 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
LinAlg/Vector.cpp: In instantiation of ‘double BOOM::{anonymous}::dot_impl(const BOOM::Vector&, const V&) [with V = BOOM::ConstVectorView]’:
LinAlg/Vector.cpp:522:20: required from here
522 | return dot_impl(*this, y);
| ~~~~~~~~^~~~~~~~~~
LinAlg/Vector.cpp:484:20: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
484 | if (y.size() != x.size()) {
| ~~~~~~~~~^~~~~~~~~~~
LinAlg/Vector.cpp:496:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
496 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
LinAlg/Vector.cpp: In instantiation of ‘std::pair<double, double> BOOM::{anonymous}::range_impl(const VECTOR&) [with VECTOR = BOOM::Vector]’:
LinAlg/Vector.cpp:855:71: required from here
855 | std::pair<double, double> range(const Vector &v) { return range_impl(v); }
| ~~~~~~~~~~^~~
LinAlg/Vector.cpp:842:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
842 | for (int i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
LinAlg/Vector.cpp: In instantiation of ‘std::vector<int> BOOM::{anonymous}::round_impl(const VECTOR&) [with VECTOR = BOOM::Vector]’:
LinAlg/Vector.cpp:1059:62: required from here
1059 | std::vector<int> round(const Vector &v) { return round_impl(v); }
| ~~~~~~~~~~^~~
LinAlg/Vector.cpp:1052:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1052 | for (int i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
LinAlg/Vector.cpp:410:34: required from here
410 | *this /= EigenMap(*this).norm();
| ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Vector.cpp:427:69: required from here
427 | double Vector::abs_norm() const { return EigenMap(*this).lpNorm<1>(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/Vector.cpp:492:31: required from ‘double BOOM::{anonymous}::dot_impl(const BOOM::Vector&, const V&) [with V = BOOM::Vector]’
492 | return EigenMap(x).dot(EigenMap(y));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
LinAlg/Vector.cpp:519:62: required from here
519 | double Vector::dot(const Vector &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/Vector.cpp:492:31: required from ‘double BOOM::{anonymous}::dot_impl(const BOOM::Vector&, const V&) [with V = BOOM::VectorView]’
492 | return EigenMap(x).dot(EigenMap(y));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
LinAlg/Vector.cpp:520:66: required from here
520 | double Vector::dot(const VectorView &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
LinAlg/Vector.cpp:362:69: required from here
362 | double Vector::normsq() const { return EigenMap(*this).squaredNorm(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
LinAlg/Vector.cpp:410:34: required from here
410 | *this /= EigenMap(*this).norm();
| ~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/Vector.cpp:427:69: required from here
427 | double Vector::abs_norm() const { return EigenMap(*this).lpNorm<1>(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/Vector.cpp:492:31: required from ‘double BOOM::{anonymous}::dot_impl(const BOOM::Vector&, const V&) [with V = BOOM::Vector]’
492 | return EigenMap(x).dot(EigenMap(y));
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
LinAlg/Vector.cpp:519:62: required from here
519 | double Vector::dot(const Vector &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:359:65: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:359:65: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:359:65: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:337:69: required from here
337 | EigenMap(A).selfadjointView<Eigen::Upper>() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
306 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:337:69: required from here
337 | EigenMap(A).selfadjointView<Eigen::Upper>() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:337:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:337:69: required from here
337 | EigenMap(A).selfadjointView<Eigen::Upper>() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
| ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:166:
../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:337:69: required from here
337 | EigenMap(A).selfadjointView<Eigen::Upper>() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
500 | return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
| ^~~~~~~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
../inst/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:324:61: required from here
324 | EigenMap(ans) = EigenMap(A).transpose() * EigenMap(*this);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
LinAlg/Vector.cpp:359:65: required from here
359 | EigenMap(ans) = a * EigenMap(*this) * EigenMap(y).transpose();
| ^
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/VectorView.cpp -o LinAlg/VectorView.o
In file included from ../inst/include/Eigen/Core:205,
from ../inst/include/LinAlg/EigenMap.hpp:22,
from LinAlg/VectorView.cpp:26:
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from ../inst/include/Eigen/Core:174:
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, -1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:31:60: required from here
31 | inline ::Eigen::Map<::Eigen::MatrixXd> EigenMap(Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:35:78: required from here
35 | inline const ::Eigen::Map<const ::Eigen::MatrixXd> EigenMap(const Matrix &m) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, -1, 1>’
178 | class Matrix
| ^~~~~~
../inst/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
24 | ? PlainObjectType::ColsAtCompileTime
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:40:60: required from here
40 | inline ::Eigen::Map<::Eigen::VectorXd> EigenMap(Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:44:78: required from here
44 | inline const ::Eigen::Map<const ::Eigen::VectorXd> EigenMap(const Vector &v) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:51:28: required from here
51 | EigenMap(VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
../inst/include/LinAlg/EigenMap.hpp:62:34: required from here
62 | EigenMap(const VectorView &view) {
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/VectorView.cpp: In constructor ‘BOOM::VectorView::VectorView(BOOM::Vector&, BOOM::uint)’:
LinAlg/VectorView.cpp:93:32: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
93 | if ( (first > 0) && (first >= v.size())) {
| ~~~~~~^~~~~~~~~~~
LinAlg/VectorView.cpp: In constructor ‘BOOM::VectorView::VectorView(BOOM::Vector&, BOOM::uint, BOOM::uint)’:
LinAlg/VectorView.cpp:101:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
101 | if (v.size() < first + length) {
| ~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/VectorView.cpp:212:38: required from here
212 | EigenMap(*this) += a * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/VectorView.cpp:212:38: required from here
212 | EigenMap(*this) += a * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/VectorView.cpp:219:38: required from here
219 | EigenMap(*this) += a * EigenMap(y);
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
LinAlg/VectorView.cpp:226:26: required from here
226 | EigenMap(*this).array() += a * EigenMap(y).array();
| ~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
LinAlg/VectorView.cpp:226:53: required from here
226 | EigenMap(*this).array() += a * EigenMap(y).array();
| ~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > > >’
38 | >::type Scalar;
| ^~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/VectorView.cpp:226:54: required from here
226 | EigenMap(*this).array() += a * EigenMap(y).array();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
LinAlg/VectorView.cpp:226:54: required from here
226 | EigenMap(*this).array() += a * EigenMap(y).array();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<double, -1, 1>’
45 | class Array
| ^~~~~
LinAlg/VectorView.cpp:226:54: required from here
226 | EigenMap(*this).array() += a * EigenMap(y).array();
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Scalar = double]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
LinAlg/VectorView.cpp:156:24: required from here
156 | EigenMap(*this) *= x;
| ^
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
LinAlg/VectorView.cpp:285:65: required from here
285 | double VV::normsq() const { return EigenMap(*this).squaredNorm(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
LinAlg/VectorView.cpp: In instantiation of ‘BOOM::VectorView BOOM::{anonymous}::tail_impl(VECTOR&, int) [with VECTOR = BOOM::Vector]’:
LinAlg/VectorView.cpp:513:58: required from here
513 | VectorView tail(Vector &v, int size) { return tail_impl(v, size); }
| ~~~~~~~~~^~~~~~~~~
LinAlg/VectorView.cpp:495:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
495 | if (v.size() <= size) {
| ~~~~~~~~~^~~~~~~
LinAlg/VectorView.cpp: In instantiation of ‘BOOM::ConstVectorView BOOM::{anonymous}::const_tail_impl(const VECTOR&, int) [with VECTOR = BOOM::Vector]’:
LinAlg/VectorView.cpp:517:27: required from here
517 | return const_tail_impl(v, size);
| ~~~~~~~~~~~~~~~^~~~~~~~~
LinAlg/VectorView.cpp:505:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
505 | if (v.size() <= size) {
| ~~~~~~~~~^~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
../inst/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
LinAlg/VectorView.cpp:331:65: required from here
331 | double VV::abs_norm() const { return EigenMap(*this).lpNorm<1>(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/VectorView.cpp:41:32: required from ‘double BOOM::{anonymous}::dot_impl(const V1&, const V2&) [with V1 = BOOM::VectorView; V2 = BOOM::Vector]’
41 | return EigenMap(v1).dot(EigenMap(v2));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/VectorView.cpp:335:58: required from here
335 | double VV::dot(const Vector &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >, 0>’:
../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; bool NeedToTranspose = false; ResScalar = double]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/VectorView.cpp:41:32: required from ‘double BOOM::{anonymous}::dot_impl(const V1&, const V2&) [with V1 = BOOM::VectorView; V2 = BOOM::VectorView]’
41 | return EigenMap(v1).dot(EigenMap(v2));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
LinAlg/VectorView.cpp:336:62: required from here
336 | double VV::dot(const VectorView &y) const { return dot_impl(*this, y); }
| ~~~~~~~~^~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LinAlg/stack_columns.cpp -o LinAlg/stack_columns.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/cephes_rgamma.cpp -o math/cephes/cephes_rgamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/chbevl.cpp -o math/cephes/chbevl.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/dawsn.cpp -o math/cephes/dawsn.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/ei.cpp -o math/cephes/ei.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/expn.cpp -o math/cephes/expn.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/fac.cpp -o math/cephes/fac.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/fresnl.cpp -o math/cephes/fresnl.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/planck.cpp -o math/cephes/planck.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/polevl.cpp -o math/cephes/polevl.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/polylog.cpp -o math/cephes/polylog.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/powi.cpp -o math/cephes/powi.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/shichi.cpp -o math/cephes/shichi.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/sici.cpp -o math/cephes/sici.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/spence.cpp -o math/cephes/spence.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/zeta.cpp -o math/cephes/zeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/cephes/zetac.cpp -o math/cephes/zetac.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/kissfft/kiss_fft.cpp -o math/kissfft/kiss_fft.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/fft.cpp -o math/fft.o
math/fft.cpp: In member function ‘BOOM::Vector BOOM::FastFourierTransform::inverse_transform(const {anonymous}::ComplexVector&) const’:
math/fft.cpp:110:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
110 | for (int i = 0; i < nfft; ++i) {
| ~~^~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math/lmultigamma.cpp -o math/lmultigamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/BetaBinomialMixture.cpp -o Models/Mixtures/BetaBinomialMixture.o
Models/Mixtures/BetaBinomialMixture.cpp: In member function ‘void BOOM::BetaBinomialMixtureModel::impute_data_point(BOOM::RNG&, const BOOM::Ptr<BOOM::AggregatedBinomialData>&)’:
Models/Mixtures/BetaBinomialMixture.cpp:85:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
85 | for (int s = 0; s < apportionment.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/BetaBinomialMixture.cpp: In member function ‘double BOOM::BetaBinomialMixtureModel::log_likelihood(const BOOM::Vector&, const BOOM::Matrix&) const’:
Models/Mixtures/BetaBinomialMixture.cpp:106:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::AggregatedBinomialData>, std::allocator<BOOM::Ptr<BOOM::AggregatedBinomialData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
106 | for (int i = 0; i < dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/ConditionalFiniteMixtureModel.cpp -o Models/Mixtures/ConditionalFiniteMixtureModel.o
Models/Mixtures/ConditionalFiniteMixtureModel.cpp: In constructor ‘BOOM::ConditionalFiniteMixtureModel::ConditionalFiniteMixtureModel(const std::vector<BOOM::Ptr<BOOM::MixtureComponent> >&, const BOOM::Ptr<BOOM::MultinomialLogitModel>&)’:
Models/Mixtures/ConditionalFiniteMixtureModel.cpp:91:42: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
91 | if (mixing_distribution_->Nchoices() != mixture_components.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/ConditionalFiniteMixtureModel.cpp: In member function ‘virtual void BOOM::ConditionalFiniteMixtureModel::combine_data(const BOOM::Model&, bool)’:
Models/Mixtures/ConditionalFiniteMixtureModel.cpp:134:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ConditionalMixtureData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
134 | for (int i = 0; i < other.data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/DirichletProcessMixture.cpp -o Models/Mixtures/DirichletProcessMixture.o
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘void BOOM::DirichletProcessMixtureModel::set_stick_fractions(const BOOM::Vector&)’:
Models/Mixtures/DirichletProcessMixture.cpp:49:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
49 | if (stick_fractions.size() != number_of_components()) {
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘virtual void BOOM::DirichletProcessMixtureModel::clear_data()’:
Models/Mixtures/DirichletProcessMixture.cpp:84:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
84 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘virtual void BOOM::DirichletProcessMixtureModel::combine_data(const BOOM::Model&, bool)’:
Models/Mixtures/DirichletProcessMixture.cpp:93:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
93 | for (int i = 0; i < other_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘virtual void BOOM::DirichletProcessMixtureModel::remove_empty_cluster(const BOOM::Ptr<BOOM::DirichletProcessMixtureComponent>&, bool)’:
Models/Mixtures/DirichletProcessMixture.cpp:175:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
175 | for (int i = which_cluster; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘virtual void BOOM::DirichletProcessMixtureModel::remove_all_empty_clusters()’:
Models/Mixtures/DirichletProcessMixture.cpp:187:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
187 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘void BOOM::DirichletProcessMixtureModel::compute_mixing_weights()’:
Models/Mixtures/DirichletProcessMixture.cpp:207:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
207 | for (int i = 0; i < stick_fractions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘void BOOM::DirichletProcessMixtureModel::compute_stick_fractions_from_mixing_weights()’:
Models/Mixtures/DirichletProcessMixture.cpp:218:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 1; i < stick_fractions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘virtual void BOOM::DirichletProcessMixtureModel::replace_cluster(const BOOM::Ptr<BOOM::DirichletProcessMixtureComponent>&, const BOOM::Ptr<BOOM::DirichletProcessMixtureComponent>&)’:
Models/Mixtures/DirichletProcessMixture.cpp:319:42: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
319 | if (spare_mixture_components_.size() > 2 * buffer_size) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMixture.cpp: In member function ‘virtual void BOOM::DirichletProcessMixtureModel::insert_cluster(const BOOM::Ptr<BOOM::DirichletProcessMixtureComponent>&, int)’:
Models/Mixtures/DirichletProcessMixture.cpp:340:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
340 | for (int i = index; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from Models/Mixtures/DirichletProcessMixture.cpp:23:
../inst/include/cpputil/shift_element.hpp: In instantiation of ‘void BOOM::shift_element(std::vector<_RealType>&, int, int) [with C = Ptr<DirichletProcessMixtureComponent>]’:
Models/Mixtures/DirichletProcessMixture.cpp:196:18: required from here
196 | shift_element(mixture_components_, from, to);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~~~^~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~^~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp: In instantiation of ‘void BOOM::shift_element(std::vector<_RealType>&, int, int) [with C = Ptr<ConjugateDirichletProcessMixtureComponent>]’:
Models/Mixtures/DirichletProcessMixture.cpp:415:18: required from here
415 | shift_element(conjugate_mixture_components_, from, to);
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ConjugateDirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~~~^~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ConjugateDirichletProcessMixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/DirichletProcessMvnModel.cpp -o Models/Mixtures/DirichletProcessMvnModel.o
Models/Mixtures/DirichletProcessMvnModel.cpp: In copy constructor ‘BOOM::DirichletProcessMvnModel::DirichletProcessMvnModel(const BOOM::{anonymous}::DPMM&)’:
Models/Mixtures/DirichletProcessMvnModel.cpp:46:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp: In member function ‘void BOOM::DirichletProcessMvnModel::assign_data_to_cluster(const BOOM::Vector&, int)’:
Models/Mixtures/DirichletProcessMvnModel.cpp:63:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
63 | if (cluster < mixture_components_.size()) {
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp:65:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
65 | } else if (cluster == mixture_components_.size()) {
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp: In member function ‘void BOOM::DirichletProcessMvnModel::remove_data_from_cluster(const BOOM::Vector&, int)’:
Models/Mixtures/DirichletProcessMvnModel.cpp:78:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
78 | if (cluster < mixture_components_.size()) {
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp: In member function ‘void BOOM::DirichletProcessMvnModel::update_cluster(const BOOM::Vector&, const BOOM::Vector&, int)’:
Models/Mixtures/DirichletProcessMvnModel.cpp:94:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
94 | if (cluster < mixture_components_.size()) {
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp: In member function ‘const BOOM::MvnModel& BOOM::DirichletProcessMvnModel::cluster(int) const’:
Models/Mixtures/DirichletProcessMvnModel.cpp:104:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
104 | if (i >= mixture_components_.size()) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp: In member function ‘BOOM::Vector BOOM::DirichletProcessMvnModel::allocation_counts() const’:
Models/Mixtures/DirichletProcessMvnModel.cpp:158:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
158 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/DirichletProcessMvnModel.cpp: In member function ‘void BOOM::DirichletProcessMvnModel::register_models()’:
Models/Mixtures/DirichletProcessMvnModel.cpp:178:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
178 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/MvnMetaAnalysisDPMPriorModel.cpp -o Models/Mixtures/MvnMetaAnalysisDPMPriorModel.o
In file included from ../inst/include/Models/Mixtures/MvnMetaAnalysisDPMPriorModel.hpp:23,
from Models/Mixtures/MvnMetaAnalysisDPMPriorModel.cpp:20:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::HierarchicalModelBase(const BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>&) [with DATA_MODEL_TYPE = BOOM::MvnModel; PRIOR_TYPE = BOOM::DirichletProcessMvnModel]’:
../inst/include/Models/Mixtures/MvnMetaAnalysisDPMPriorModel.hpp:52:9: required from here
52 | class MvnMetaAnalysisDPMPriorModel
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:53:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
53 | for (int i = 0; i < rhs.data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘void BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::initialize_model_structure() [with DATA_MODEL_TYPE = BOOM::MvnModel; PRIOR_TYPE = BOOM::DirichletProcessMvnModel]’:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:44:7: required from ‘BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::HierarchicalModelBase(const BOOM::Ptr<PRIOR_TYPE>&) [with DATA_MODEL_TYPE = BOOM::MvnModel; PRIOR_TYPE = BOOM::DirichletProcessMvnModel]’
44 | initialize_model_structure();
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Mixtures/MvnMetaAnalysisDPMPriorModel.cpp:44:66: required from here
44 | : HierarchicalBase(new DirichletProcessMvnModel(dim, alpha)) {}
| ^
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:112:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
112 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp: In instantiation of ‘void BOOM::HierarchicalModelBase<DATA_MODEL_TYPE, PRIOR_TYPE>::clear_methods() [with DATA_MODEL_TYPE = BOOM::MvnModel; PRIOR_TYPE = BOOM::DirichletProcessMvnModel]’:
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:81:10: required from here
81 | void clear_methods() override {
| ^~~~~~~~~~~~~
../inst/include/Models/Hierarchical/HierarchicalModel.hpp:83:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MvnModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (int i = 0; i < data_level_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/identify_permutation.cpp -o Models/Mixtures/identify_permutation.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/BetaBinomialMixturePosteriorSampler.cpp -o Models/Mixtures/PosteriorSamplers/BetaBinomialMixturePosteriorSampler.o
Models/Mixtures/PosteriorSamplers/BetaBinomialMixturePosteriorSampler.cpp: In member function ‘double BOOM::BetaBinomialMixtureDirectPosteriorSampler::log_posterior(const BOOM::Vector&) const’:
Models/Mixtures/PosteriorSamplers/BetaBinomialMixturePosteriorSampler.cpp:111:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
111 | for (int i = 0; i < component_means.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/ConditionalFiniteMixtureSampler.cpp -o Models/Mixtures/PosteriorSamplers/ConditionalFiniteMixtureSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/DirichletProcessCollapsedGibbsSampler.cpp -o Models/Mixtures/PosteriorSamplers/DirichletProcessCollapsedGibbsSampler.o
Models/Mixtures/PosteriorSamplers/DirichletProcessCollapsedGibbsSampler.cpp: In member function ‘void BOOM::DirichletProcessCollapsedGibbsSampler::draw_marginal_cluster_membership_indicators()’:
Models/Mixtures/PosteriorSamplers/DirichletProcessCollapsedGibbsSampler.cpp:56:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
56 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp -o Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.o
Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp: In member function ‘void BOOM::DirichletProcessMvnCollapsedGibbsSampler::draw_cluster_membership_indicators()’:
Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp:67:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
67 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp:74:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp:85:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
85 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp: In member function ‘void BOOM::DirichletProcessMvnCollapsedGibbsSampler::remove_data_from_cluster(const BOOM::Vector&, int)’:
Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
156 | for (int i = 0; i < model_->cluster_indicators().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/DirichletProcessSliceSampler.cpp -o Models/Mixtures/PosteriorSamplers/DirichletProcessSliceSampler.o
Models/Mixtures/PosteriorSamplers/DirichletProcessSliceSampler.cpp: In member function ‘void BOOM::DirichletProcessSliceSampler::randomly_allocate_data_to_clusters()’:
Models/Mixtures/PosteriorSamplers/DirichletProcessSliceSampler.cpp:341:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
341 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/MvnMetaAnalysisDPMPriorSampler.cpp -o Models/Mixtures/PosteriorSamplers/MvnMetaAnalysisDPMPriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Mixtures/PosteriorSamplers/SplitMerge.cpp -o Models/Mixtures/PosteriorSamplers/SplitMerge.o
In file included from Models/Mixtures/PosteriorSamplers/SplitMerge.cpp:24:
../inst/include/cpputil/shift_element.hpp: In instantiation of ‘void BOOM::shift_element(std::vector<_RealType>&, int, int) [with C = double]’:
Models/Mixtures/PosteriorSamplers/SplitMerge.cpp:243:20: required from here
243 | shift_element(split_mixing_weights, split_mixing_weights.size() - 1,
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
244 | split2->mixture_component_index());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~~~^~~~~~~~~~~
../inst/include/cpputil/shift_element.hpp:41:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | if (from < 0 || to < 0 || from >= v.size() || to >= v.size()) {
| ~~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/BetaBinomialModel.cpp -o Models/BetaBinomialModel.o
Models/BetaBinomialModel.cpp: In constructor ‘BOOM::BetaBinomialModel::BetaBinomialModel(const BOOM::Vector&, const BOOM::Vector&)’:
Models/BetaBinomialModel.cpp:153:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
153 | for (int i = 0; i < trials.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
In file included from ../inst/include/Models/BinomialModel.hpp:27,
from ../inst/include/Models/BetaBinomialModel.hpp:22,
from Models/BetaBinomialModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::BinomialData; S = BOOM::BetaBinomialSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::BinomialData; S = BOOM::BetaBinomialSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/BetaBinomialModel.cpp:177:24: required from here
177 | PriorPolicy(rhs)
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::BinomialData>, std::allocator<BOOM::Ptr<BOOM::BinomialData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/BetaModel.cpp -o Models/BetaModel.o
In file included from ../inst/include/Models/BetaModel.hpp:27,
from Models/BetaModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::BetaSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::BetaSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/BetaModel.cpp:124:28: required from here
124 | DiffDoubleModel(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/BinomialModel.cpp -o Models/BinomialModel.o
In file included from ../inst/include/Models/BinomialModel.hpp:27,
from Models/BinomialModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::BinomialData; S = BOOM::BinomialSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::BinomialData; S = BOOM::BinomialSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/BinomialModel.cpp:185:24: required from here
185 | NumOptModel(rhs) {
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::BinomialData>, std::allocator<BOOM::Ptr<BOOM::BinomialData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/CategoricalData.cpp -o Models/CategoricalData.o
Models/CategoricalData.cpp: In member function ‘virtual void BOOM::CatKey::Register(BOOM::CategoricalData*)’:
Models/CategoricalData.cpp:93:21: warning: comparison of integer expressions of different signedness: ‘const BOOM::uint’ {aka ‘const long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
93 | if (dp->value() >= labs_.size()) {
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~
Models/CategoricalData.cpp: In member function ‘void BOOM::CatKey::reorder(const std::vector<std::__cxx11::basic_string<char> >&)’:
Models/CategoricalData.cpp:147:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
147 | for (uint i = 0; i < labs_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/CategoricalData.cpp:149:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
149 | for (uint j = 0; j < new_ordering.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~
Models/CategoricalData.cpp: In member function ‘virtual std::ostream& BOOM::CatKey::print(BOOM::uint, std::ostream&) const’:
Models/CategoricalData.cpp:179:15: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
179 | if (value >= labs_.size()) {
| ~~~~~~^~~~~~~~~~~~~~~
Models/CategoricalData.cpp: In member function ‘std::vector<long int> BOOM::CatKey::map_levels(const std::vector<std::__cxx11::basic_string<char> >&) const’:
Models/CategoricalData.cpp:203:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
203 | for (uint i = 0; i < labs_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/CategoricalData.cpp:205:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
205 | for (uint j = 0; j < sv.size(); ++j) {
| ~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ChisqModel.cpp -o Models/ChisqModel.o
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/ChisqModel.hpp:21,
from Models/ChisqModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/GammaModel.hpp:76:9: required from here
76 | class GammaModelBase // Gamma Model, Chi-Square Model, Scaled Chi-Square
| ^~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/CompositeData.cpp -o Models/CompositeData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/CompositeModel.cpp -o Models/CompositeModel.o
In file included from ../inst/include/Models/CompositeModel.hpp:24,
from Models/CompositeModel.cpp:20:
../inst/include/Models/Policies/CompositeParamPolicy.hpp: In instantiation of ‘void BOOM::CompositeParamPolicy::set_models(Fwd, Fwd) [with Fwd = __gnu_cxx::__normal_iterator<BOOM::Ptr<BOOM::MixtureComponent>*, std::vector<BOOM::Ptr<BOOM::MixtureComponent> > >]’:
Models/CompositeModel.cpp:28:45: required from here
28 | void CM::setup() { ParamPolicy::set_models(m_.begin(), m_.end()); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/CompositeParamPolicy.hpp:74:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Model> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (uint i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ConstrainedVectorParams.cpp -o Models/ConstrainedVectorParams.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/DataTypes.cpp -o Models/DataTypes.o
Models/DataTypes.cpp: In member function ‘virtual void BOOM::PartiallyObservedVectorData::set(const BOOM::Vector&, bool)’:
Models/DataTypes.cpp:113:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
113 | if (rhs.size() != obs_.nvars_possible()) {
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/DirichletModel.cpp -o Models/DirichletModel.o
Models/DirichletModel.cpp: In member function ‘virtual double BOOM::DirichletModel::Logp(const BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, BOOM::uint) const’:
Models/DirichletModel.cpp:185:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
185 | for (int i = 0; i < probs.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/DirichletModel.cpp:189:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for (int j = 0; j < probs.size(); ++j) {
| ~~^~~~~~~~~~~~~~
In file included from ../inst/include/Models/DirichletModel.hpp:29,
from Models/DirichletModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::DirichletSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::VectorData; S = BOOM::DirichletSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/DirichletModel.cpp:116:29: required from here
116 | MixtureComponent(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/DiscreteUniformModel.cpp -o Models/DiscreteUniformModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ExponentialIncrementModel.cpp -o Models/ExponentialIncrementModel.o
Models/ExponentialIncrementModel.cpp: In constructor ‘BOOM::ExponentialIncrementModel::ExponentialIncrementModel(const BOOM::Vector&)’:
Models/ExponentialIncrementModel.cpp:30:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
30 | for (int i = 0; i < increment_rates.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
Models/ExponentialIncrementModel.cpp: In copy constructor ‘BOOM::ExponentialIncrementModel::ExponentialIncrementModel(const BOOM::{anonymous}::EIM&)’:
Models/ExponentialIncrementModel.cpp:51:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ExponentialModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
51 | for (int i = 0; i < rhs.models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/ExponentialIncrementModel.cpp: In member function ‘virtual double BOOM::ExponentialIncrementModel::logp(const BOOM::Vector&) const’:
Models/ExponentialIncrementModel.cpp:96:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ExponentialModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
96 | for (int i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/ExponentialIncrementModel.cpp: In member function ‘virtual BOOM::Vector BOOM::ExponentialIncrementModel::sim(BOOM::RNG&) const’:
Models/ExponentialIncrementModel.cpp:106:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ExponentialModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
106 | for (int i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ExponentialModel.cpp -o Models/ExponentialModel.o
In file included from ../inst/include/Models/ExponentialModel.hpp:28,
from Models/ExponentialModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::ExpSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::ExpSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/ExponentialModel.cpp:109:31: required from here
109 | EmMixtureComponent(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/FiniteMixtureModel.cpp -o Models/FiniteMixtureModel.o
Models/FiniteMixtureModel.cpp: In member function ‘double BOOM::EmFiniteMixtureModel::EStep()’:
Models/FiniteMixtureModel.cpp:302:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
302 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
In file included from ../inst/include/Models/FiniteMixtureModel.hpp:27,
from Models/FiniteMixtureModel.cpp:20:
../inst/include/Models/Policies/CompositeParamPolicy.hpp: In instantiation of ‘void BOOM::CompositeParamPolicy::set_models(Fwd, Fwd) [with Fwd = __gnu_cxx::__normal_iterator<BOOM::Ptr<BOOM::MixtureComponent>*, std::vector<BOOM::Ptr<BOOM::MixtureComponent> > >]’:
Models/FiniteMixtureModel.cpp:159:28: required from here
159 | ParamPolicy::set_models(mixture_components_.begin(),
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
160 | mixture_components_.end());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/CompositeParamPolicy.hpp:74:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Model> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
74 | for (uint i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/GammaModel.cpp -o Models/GammaModel.o
Models/GammaModel.cpp: In member function ‘virtual void BOOM::GammaModel::mle()’:
Models/GammaModel.cpp:351:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
351 | for (uint i = 0; i < dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~
In file included from ../inst/include/Models/GammaModel.hpp:29,
from Models/GammaModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/GammaModel.hpp:76:9: required from here
76 | class GammaModelBase // Gamma Model, Chi-Square Model, Scaled Chi-Square
| ^~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/GaussianModel.cpp -o Models/GaussianModel.o
In file included from ../inst/include/Models/GaussianModelBase.hpp:27,
from ../inst/include/Models/GaussianModel.hpp:22,
from Models/GaussianModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/GaussianModelBase.hpp:82:9: required from here
82 | class GaussianModelBase
| ^~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/GaussianModelBase.cpp -o Models/GaussianModelBase.o
In file included from ../inst/include/Models/GaussianModelBase.hpp:27,
from Models/GaussianModelBase.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:159:5: required from ‘void BOOM::SufstatDataPolicy<D, S>::set_data_raw(Fwd, Fwd) [with FwdIt = __gnu_cxx::__normal_iterator<const double*, std::vector<double> >; D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’
159 | refresh_suf();
| ^~~~~~~~~~~
Models/GaussianModelBase.cpp:146:29: required from here
146 | DataPolicy::set_data_raw(y.begin(), y.end());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/GaussianModelGivenSigma.cpp -o Models/GaussianModelGivenSigma.o
In file included from ../inst/include/Models/GaussianModelGivenSigma.hpp:26,
from Models/GaussianModelGivenSigma.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/GaussianModelBase.hpp:82:9: required from here
82 | class GaussianModelBase
| ^~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IndependentMvnModel.cpp -o Models/IndependentMvnModel.o
Models/IndependentMvnModel.cpp: In member function ‘void BOOM::IndependentMvnSuf::update_raw(const BOOM::Vector&)’:
Models/IndependentMvnModel.cpp:53:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
53 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘void BOOM::IndependentMvnSuf::add_mixture_data(const BOOM::Vector&, double)’:
Models/IndependentMvnModel.cpp:59:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
59 | for (int i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘void BOOM::IndependentMvnSuf::update_expected_value(double, const BOOM::Vector&, const BOOM::Vector&)’:
Models/IndependentMvnModel.cpp:67:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
67 | for (int i = 0; i < expected_sum.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘void BOOM::IndependentMvnSuf::combine(const BOOM::IndependentMvnSuf&)’:
Models/IndependentMvnModel.cpp:111:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GaussianSuf>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
111 | for (int i = 0; i < suf_.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘virtual BOOM::Vector BOOM::IndependentMvnSuf::vectorize(bool) const’:
Models/IndependentMvnModel.cpp:119:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GaussianSuf>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
119 | for (int i = 0; i < suf_.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘virtual BOOM::Vector::const_iterator BOOM::IndependentMvnSuf::unvectorize(BOOM::Vector::const_iterator&, bool)’:
Models/IndependentMvnModel.cpp:127:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GaussianSuf>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
127 | for (int i = 0; i < suf_.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘virtual std::ostream& BOOM::IndependentMvnSuf::print(std::ostream&) const’:
Models/IndependentMvnModel.cpp:141:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GaussianSuf>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
141 | for (int i = 0; i < suf_.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/IndependentMvnModel.cpp: In member function ‘virtual BOOM::Vector BOOM::IndependentMvnBase::sim(BOOM::RNG&) const’:
Models/IndependentMvnModel.cpp:216:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
216 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from ../inst/include/Models/GaussianModelBase.hpp:27,
from ../inst/include/Models/IndependentMvnModel.hpp:24,
from Models/IndependentMvnModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::IndependentMvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::VectorData; S = BOOM::IndependentMvnSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/IndependentMvnModel.hpp:85:9: required from here
85 | class IndependentMvnBase
| ^~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/IndependentMvnModelGivenScalarSigma.cpp -o Models/IndependentMvnModelGivenScalarSigma.o
Models/IndependentMvnModelGivenScalarSigma.cpp: In member function ‘virtual double BOOM::IndependentMvnModelGivenScalarSigma::Logp(const BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, BOOM::uint) const’:
Models/IndependentMvnModelGivenScalarSigma.cpp:59:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
59 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/LognormalModel.cpp -o Models/LognormalModel.o
In file included from ../inst/include/Models/GaussianModelBase.hpp:27,
from ../inst/include/Models/LognormalModel.hpp:24,
from Models/LognormalModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/LognormalModel.hpp:31:9: required from here
31 | class LognormalModel : public ParamPolicy_2<UnivParams, UnivParams>,
| ^~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/LowRankMvnModel.cpp -o Models/LowRankMvnModel.o
In file included from ../inst/include/Models/LowRankMvnModel.hpp:26,
from Models/LowRankMvnModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::MvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::VectorData; S = BOOM::MvnSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/LowRankMvnModel.cpp:34:24: required from here
34 | PriorPolicy(rhs)
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MarginallyUniformCorrelationModel.cpp -o Models/MarginallyUniformCorrelationModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MarkovModel.cpp -o Models/MarkovModel.o
In file included from Models/MarkovModel.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/MarkovModel.cpp: In function ‘BOOM::Ptr<BOOM::TimeSeries<BOOM::MarkovData> > BOOM::make_markov_data(const std::vector<long int>&)’:
Models/MarkovModel.cpp:100:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
100 | for (int i = 0; i < raw_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/MarkovModel.cpp: In function ‘BOOM::Ptr<BOOM::TimeSeries<BOOM::MarkovData> > BOOM::make_markov_data(const std::vector<std::__cxx11::basic_string<char> >&)’:
Models/MarkovModel.cpp:119:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
119 | for (int i = 0; i < raw_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MatrixNormalModel.cpp -o Models/MatrixNormalModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ModelTypes.cpp -o Models/ModelTypes.o
Models/ModelTypes.cpp: In member function ‘virtual void BOOM::Model::unvectorize_params(const BOOM::Vector&, bool)’:
Models/ModelTypes.cpp:58:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Params> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
58 | for (uint i = 0; i < prm.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MultinomialModel.cpp -o Models/MultinomialModel.o
Models/MultinomialModel.cpp: In member function ‘virtual void BOOM::MultinomialSuf::Update(const BOOM::CategoricalData&)’:
Models/MultinomialModel.cpp:48:14: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
48 | while (i >= counts_.size()) {
| ~~^~~~~~~~~~~~~~~~~
Models/MultinomialModel.cpp: In function ‘BOOM::uint BOOM::count_levels(const StringVector&)’:
Models/MultinomialModel.cpp:96:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
96 | for (uint i = 0; i < sv.size(); ++i) s.insert(sv[i]);
| ~~^~~~~~~~~~~
Models/MultinomialModel.cpp: In member function ‘double BOOM::MultinomialModel::entropy() const’:
Models/MultinomialModel.cpp:189:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
189 | for (int i = 0; i < probs.size(); ++i) {
| ~~^~~~~~~~~~~~~~
In file included from ../inst/include/Models/MultinomialModel.hpp:26,
from Models/MultinomialModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::CategoricalData; S = BOOM::MultinomialSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:145:5: required from ‘void BOOM::SufstatDataPolicy<D, S>::set_data(const DatasetType&) [with D = BOOM::CategoricalData; S = BOOM::MultinomialSuf; DatasetType = std::vector<BOOM::Ptr<BOOM::CategoricalData> >]’
145 | refresh_suf();
| ^~~~~~~~~~~
Models/MultinomialModel.cpp:119:13: required from here
119 | set_data(dvec);
| ~~~~~~~~^~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::CategoricalData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MvnBase.cpp -o Models/MvnBase.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MvnGivenScalarSigma.cpp -o Models/MvnGivenScalarSigma.o
In file included from ../inst/include/Models/MvnGivenScalarSigma.hpp:26,
from Models/MvnGivenScalarSigma.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::MvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::VectorData; S = BOOM::MvnSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/MvnGivenScalarSigma.cpp:59:22: required from here
59 | wsp_(rhs.wsp_) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MvnGivenSigma.cpp -o Models/MvnGivenSigma.o
In file included from ../inst/include/Models/MvnGivenSigma.hpp:25,
from Models/MvnGivenSigma.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::MvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::VectorData; S = BOOM::MvnSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/MvnGivenSigma.hpp:29:9: required from here
29 | class MvnGivenSigma : public MvnBase,
| ^~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MvnModel.cpp -o Models/MvnModel.o
In file included from ../inst/include/Models/MvnModel.hpp:28,
from Models/MvnModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::MvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:159:5: required from ‘void BOOM::SufstatDataPolicy<D, S>::set_data_raw(Fwd, Fwd) [with FwdIt = __gnu_cxx::__normal_iterator<const BOOM::Vector*, std::vector<BOOM::Vector> >; D = BOOM::VectorData; S = BOOM::MvnSuf]’
159 | refresh_suf();
| ^~~~~~~~~~~
Models/MvnModel.cpp:80:17: required from here
80 | set_data_raw(data.begin(), data.end());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/MvtModel.cpp -o Models/MvtModel.o
Models/MvtModel.cpp: In member function ‘void BOOM::MvtModel::Impute(bool, BOOM::RNG&)’:
Models/MvtModel.cpp:157:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::WeightedData<BOOM::VectorData> >, std::allocator<BOOM::Ptr<BOOM::WeightedData<BOOM::VectorData> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
157 | for (uint i = 0; i < V.size(); ++i) {
| ~~^~~~~~~~~~
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/ScaledChisqModel.hpp:23,
from ../inst/include/Models/MvtModel.hpp:27,
from Models/MvtModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::WeightedData<BOOM::VectorData>; S = BOOM::WeightedMvnSuf]’:
Models/MvtModel.cpp:166:21: required from here
166 | mvn->refresh_suf();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::WeightedData<BOOM::VectorData> >, std::allocator<BOOM::Ptr<BOOM::WeightedData<BOOM::VectorData> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’:
Models/MvtModel.cpp:167:21: required from here
167 | wgt->refresh_suf();
| ~~~~~~~~~~~~~~~~^~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ParamTypes.cpp -o Models/ParamTypes.o
Models/ParamTypes.cpp: In function ‘void BOOM::unvectorize(std::vector<Ptr<Params> >&, const Vector&, bool)’:
Models/ParamTypes.cpp:45:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Params> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (uint i = 0; i < pvec.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PoissonGammaModel.cpp -o Models/PoissonGammaModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PoissonModel.cpp -o Models/PoissonModel.o
In file included from ../inst/include/Models/PoissonModel.hpp:26,
from Models/PoissonModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<unsigned int>; S = BOOM::PoissonSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<unsigned int>; S = BOOM::PoissonSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/PoissonModel.cpp:144:24: required from here
144 | NumOptModel(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<unsigned int> >, std::allocator<BOOM::Ptr<BOOM::UnivData<unsigned int> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PositiveSemidefiniteData.cpp -o Models/PositiveSemidefiniteData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ProductDirichletModel.cpp -o Models/ProductDirichletModel.o
In file included from ../inst/include/Models/ProductDirichletModel.hpp:25,
from Models/ProductDirichletModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::MatrixData; S = BOOM::ProductDirichletSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::MatrixData; S = BOOM::ProductDirichletSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/ProductDirichletModel.cpp:114:26: required from here
114 | dLoglikeModel(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::MatrixData>, std::allocator<BOOM::Ptr<BOOM::MatrixData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ProductVectorModel.cpp -o Models/ProductVectorModel.o
Models/ProductVectorModel.cpp: In constructor ‘BOOM::ProductVectorModel::ProductVectorModel(const std::vector<BOOM::Ptr<BOOM::DoubleModel> >&)’:
Models/ProductVectorModel.cpp:31:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DoubleModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
31 | for (int i = 0; i < marginals.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/ProductVectorModel.cpp: In copy constructor ‘BOOM::ProductVectorModel::ProductVectorModel(const BOOM::ProductVectorModel&)’:
Models/ProductVectorModel.cpp:38:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DoubleModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
38 | for (int i = 0; i < rhs.marginal_distributions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/ProductVectorModel.cpp: In member function ‘BOOM::ProductVectorModel& BOOM::ProductVectorModel::operator=(const BOOM::ProductVectorModel&)’:
Models/ProductVectorModel.cpp:48:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DoubleModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
48 | for (int i = 0; i < rhs.marginal_distributions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/ProductVectorModel.cpp: In member function ‘virtual double BOOM::ProductVectorModel::logp(const BOOM::Vector&) const’:
Models/ProductVectorModel.cpp:75:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
75 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
Models/ProductVectorModel.cpp: In member function ‘virtual BOOM::Vector BOOM::ProductVectorModel::sim(BOOM::RNG&) const’:
Models/ProductVectorModel.cpp:83:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/ProductVectorModel.cpp: In constructor ‘BOOM::ProductLocationScaleVectorModel::ProductLocationScaleVectorModel(const std::vector<BOOM::Ptr<BOOM::LocationScaleDoubleModel> >&)’:
Models/ProductVectorModel.cpp:95:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocationScaleDoubleModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
95 | for (int i = 0; i < marginals.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/ProductVectorModel.cpp: In copy constructor ‘BOOM::ProductLocationScaleVectorModel::ProductLocationScaleVectorModel(const BOOM::{anonymous}::PLSVM&)’:
Models/ProductVectorModel.cpp:103:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocationScaleDoubleModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
103 | for (int i = 0; i < rhs.ls_marginal_distributions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/ProductVectorModel.cpp: In member function ‘void BOOM::ProductLocationScaleVectorModel::add_location_scale_model(const BOOM::Ptr<BOOM::LocationScaleDoubleModel>&)’:
Models/ProductVectorModel.cpp:143:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Params> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
143 | for (int i = 0; i < parameter_vector.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/ProductVectorModel.cpp: In member function ‘void BOOM::ProductLocationScaleVectorModel::refresh_moments() const’:
Models/ProductVectorModel.cpp:158:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
158 | if (mu_.size() != dimension) {
| ~~~~~~~~~~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ScaledChisqModel.cpp -o Models/ScaledChisqModel.o
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/ScaledChisqModel.hpp:23,
from Models/ScaledChisqModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/GammaModel.hpp:76:9: required from here
76 | class GammaModelBase // Gamma Model, Chi-Square Model, Scaled Chi-Square
| ^~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/SpdData.cpp -o Models/SpdData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/SpdModel.cpp -o Models/SpdModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/SpdParams.cpp -o Models/SpdParams.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Sufstat.cpp -o Models/Sufstat.o
Models/Sufstat.cpp: In function ‘BOOM::Vector BOOM::vectorize(const std::vector<Ptr<Sufstat> >&, bool)’:
Models/Sufstat.cpp:25:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Sufstat> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
25 | for (uint i = 0; i < v.size(); ++i) {
| ~~^~~~~~~~~~
Models/Sufstat.cpp: In function ‘void BOOM::unvectorize(std::vector<Ptr<Sufstat> >&, const Vector&, bool)’:
Models/Sufstat.cpp:35:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Sufstat> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
35 | for (uint i = 0; i < svec.size(); ++i) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/TruncatedGammaModel.cpp -o Models/TruncatedGammaModel.o
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/TruncatedGammaModel.hpp:22,
from Models/TruncatedGammaModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:145:5: required from ‘void BOOM::SufstatDataPolicy<D, S>::set_data(const DatasetType&) [with D = BOOM::UnivData<double>; S = BOOM::GammaSuf; DatasetType = std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >]’
145 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:143:8: required from here
143 | void SufstatDataPolicy<D, S>::set_data(const DatasetType &d) {
| ^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/UniformCorrelationModel.cpp -o Models/UniformCorrelationModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/UniformModel.cpp -o Models/UniformModel.o
In file included from ../inst/include/Models/UniformModel.hpp:27,
from Models/UniformModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::UniformSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::UniformSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/UniformModel.cpp:131:25: required from here
131 | LoglikeModel(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/UniformShrinkagePriorModel.cpp -o Models/UniformShrinkagePriorModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/WeightedGaussianSuf.cpp -o Models/WeightedGaussianSuf.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/WeightedMvnModel.cpp -o Models/WeightedMvnModel.o
In file included from ../inst/include/Models/WeightedMvnModel.hpp:25,
from Models/WeightedMvnModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::WeightedData<BOOM::VectorData>; S = BOOM::WeightedMvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::WeightedData<BOOM::VectorData>; S = BOOM::WeightedMvnSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/WeightedMvnModel.cpp:165:25: required from here
165 | LoglikeModel(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::WeightedData<BOOM::VectorData> >, std::allocator<BOOM::Ptr<BOOM::WeightedData<BOOM::VectorData> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/WishartModel.cpp -o Models/WishartModel.o
In file included from ../inst/include/Models/WishartModel.hpp:26,
from Models/WishartModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::SpdData; S = BOOM::WishartSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::SpdData; S = BOOM::WishartSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/WishartModel.cpp:135:21: required from here
135 | SpdModel(rhs) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::SpdData>, std::allocator<BOOM::Ptr<BOOM::SpdData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ZeroInflatedGammaModel.cpp -o Models/ZeroInflatedGammaModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ZeroInflatedLognormalModel.cpp -o Models/ZeroInflatedLognormalModel.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ZeroInflatedPoissonModel.cpp -o Models/ZeroInflatedPoissonModel.o
In file included from ../inst/include/Models/BinomialModel.hpp:27,
from ../inst/include/Models/ZeroInflatedPoissonModel.hpp:23,
from Models/ZeroInflatedPoissonModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<unsigned int>; S = BOOM::ZeroInflatedPoissonSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<unsigned int>; S = BOOM::ZeroInflatedPoissonSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
Models/ZeroInflatedPoissonModel.cpp:166:37: required from here
166 | log_zero_prob_current_(false) {}
| ^
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<unsigned int> >, std::allocator<BOOM::Ptr<BOOM::UnivData<unsigned int> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ZeroMeanGaussianModel.cpp -o Models/ZeroMeanGaussianModel.o
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/ZeroMeanGaussianModel.hpp:22,
from Models/ZeroMeanGaussianModel.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::GaussianSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/GaussianModelBase.hpp:82:9: required from here
82 | class GaussianModelBase
| ^~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/ZeroMeanMvnModel.cpp -o Models/ZeroMeanMvnModel.o
In file included from ../inst/include/Models/ZeroMeanMvnModel.hpp:25,
from Models/ZeroMeanMvnModel.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::MvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::VectorData; S = BOOM::MvnSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/ZeroMeanMvnModel.hpp:31:9: required from here
31 | class ZeroMeanMvnModel : public MvnBase,
| ^~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Policies/CompositeParamPolicy.cpp -o Models/Policies/CompositeParamPolicy.o
Models/Policies/CompositeParamPolicy.cpp: In member function ‘void BOOM::CompositeParamPolicy::drop_model(const BOOM::Ptr<BOOM::Model>&)’:
Models/Policies/CompositeParamPolicy.cpp:44:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Params> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (uint i = 0; i < tmp.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Policies/ManyParamPolicy.cpp -o Models/Policies/ManyParamPolicy.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Policies/MixtureDataPolicy.cpp -o Models/Policies/MixtureDataPolicy.o
Models/Policies/MixtureDataPolicy.cpp: In member function ‘virtual void BOOM::MixtureDataPolicy::set_data(const DatasetType&)’:
Models/Policies/MixtureDataPolicy.cpp:67:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
67 | for (uint i = 0; i < d.size(); ++i) add_data(d[i]);
| ~~^~~~~~~~~~
Models/Policies/MixtureDataPolicy.cpp: In member function ‘virtual void BOOM::MixtureDataPolicy::combine_data(const BOOM::Model&, bool)’:
Models/Policies/MixtureDataPolicy.cpp:140:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
140 | for (int i = 0; i < m.dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Policies/NullParamPolicy.cpp -o Models/Policies/NullParamPolicy.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Policies/PriorPolicy.cpp -o Models/Policies/PriorPolicy.o
Models/Policies/PriorPolicy.cpp: In member function ‘virtual void BOOM::PriorPolicy::sample_posterior()’:
Models/Policies/PriorPolicy.cpp:26:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::PosteriorSampler> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
26 | for (uint i = 0; i < samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/Policies/PriorPolicy.cpp: In member function ‘virtual double BOOM::PriorPolicy::logpri() const’:
Models/Policies/PriorPolicy.cpp:33:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::PosteriorSampler> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
33 | for (uint i = 0; i < samplers_.size(); ++i) ans += samplers_[i]->logpri();
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/AbsorbingMarkovConjSampler.cpp -o Models/PosteriorSamplers/AbsorbingMarkovConjSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/AbsorbingMarkovConjSampler.hpp:24,
from Models/PosteriorSamplers/AbsorbingMarkovConjSampler.cpp:19:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/BetaBinomialPosteriorSampler.cpp -o Models/PosteriorSamplers/BetaBinomialPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/BetaBinomialSampler.cpp -o Models/PosteriorSamplers/BetaBinomialSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/BetaPosteriorSampler.cpp -o Models/PosteriorSamplers/BetaPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/CompositeModelSampler.cpp -o Models/PosteriorSamplers/CompositeModelSampler.o
Models/PosteriorSamplers/CompositeModelSampler.cpp: In member function ‘virtual double BOOM::CompositeModelSampler::logpri() const’:
Models/PosteriorSamplers/CompositeModelSampler.cpp:36:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for (int i = 0; i < components.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/CompositeModelSampler.cpp: In member function ‘virtual void BOOM::CompositeModelSampler::draw()’:
Models/PosteriorSamplers/CompositeModelSampler.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (int i = 0; i < components.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/CompositeSampler.cpp -o Models/PosteriorSamplers/CompositeSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/CorrelationSampler.cpp -o Models/PosteriorSamplers/CorrelationSampler.o
Models/PosteriorSamplers/CorrelationSampler.cpp: In member function ‘virtual void BOOM::MvnCorrelationSampler::draw()’:
Models/PosteriorSamplers/CorrelationSampler.cpp:50:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
50 | for (int i = 0; i < sigma.size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/DirichletPosteriorSampler.cpp -o Models/PosteriorSamplers/DirichletPosteriorSampler.o
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp: In member function ‘virtual double BOOM::DirichletSampler::DirichletPhiLogPosterior::operator()(const BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, BOOM::uint) const’:
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:268:32: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
268 | if (truncated_phi.size() != model_->dim() - 1) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:293:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
293 | for (int s = 0; s < truncated_phi.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:300:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
300 | for (int r = 0; r < truncated_phi.size(); ++r) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp: In member function ‘virtual double BOOM::DirichletSampler::MultinomialLogitLogPosterior::operator()(const BOOM::Vector&, BOOM::Vector&, BOOM::Matrix&, BOOM::uint) const’:
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:367:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
367 | for (int r = 0; r < phi_gradient.size(); ++r) {
| ~~^~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:368:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int s = 0; s < phi_gradient.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:369:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
369 | for (int t = 0; t < phi_gradient.size(); ++t) {
| ~~^~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp: In member function ‘virtual double BOOM::DirichletSampler::LogAlphaLogPosterior::operator()(double, double&, double&, BOOM::uint) const’:
Models/PosteriorSamplers/DirichletPosteriorSampler.cpp:413:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
413 | for (int s = 0; s < phi.size(); ++s) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ExchangeableDirichletSampler.cpp -o Models/PosteriorSamplers/ExchangeableDirichletSampler.o
Models/PosteriorSamplers/ExchangeableDirichletSampler.cpp: In member function ‘virtual double BOOM::ExchangeableDirichletSampler::logpri() const’:
Models/PosteriorSamplers/ExchangeableDirichletSampler.cpp:42:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
42 | for (uint i = 0; i < nu.size(); ++i) ans += pri_->logp(nu[i]);
| ~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ExponentialGammaSampler.cpp -o Models/PosteriorSamplers/ExponentialGammaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/FixedProbBinomialSampler.cpp -o Models/PosteriorSamplers/FixedProbBinomialSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GammaPosteriorSampler.cpp -o Models/PosteriorSamplers/GammaPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GaussianConjSampler.cpp -o Models/PosteriorSamplers/GaussianConjSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GaussianGivenSigmaSampler.cpp -o Models/PosteriorSamplers/GaussianGivenSigmaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GaussianMeanSampler.cpp -o Models/PosteriorSamplers/GaussianMeanSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GaussianVarSampler.cpp -o Models/PosteriorSamplers/GaussianVarSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GenericGaussianVarianceSampler.cpp -o Models/PosteriorSamplers/GenericGaussianVarianceSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/GenericStudentSampler.cpp -o Models/PosteriorSamplers/GenericStudentSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/HierarchicalPosteriorSampler.cpp -o Models/PosteriorSamplers/HierarchicalPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/Imputer.cpp -o Models/PosteriorSamplers/Imputer.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from Models/PosteriorSamplers/Imputer.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/Imputer.cpp: In member function ‘void BOOM::ParallelLatentDataImputer::impute_latent_data()’:
Models/PosteriorSamplers/Imputer.cpp:29:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
29 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/Imputer.cpp:36:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
36 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/Imputer.cpp:41:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::future<void> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | for (int i = 0; i < jobs.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/PosteriorSamplers/Imputer.cpp:58:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
58 | for (int i = 0; i < error_messages.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/IndependentMvnConjSampler.cpp -o Models/PosteriorSamplers/IndependentMvnConjSampler.o
Models/PosteriorSamplers/IndependentMvnConjSampler.cpp: In member function ‘void BOOM::IndependentMvnConjSampler::check_vector_size(const BOOM::Vector&, const char*)’:
Models/PosteriorSamplers/IndependentMvnConjSampler.cpp:106:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
106 | if (v.size() != model_->dim()) {
| ~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/IndependentMvnVarSampler.cpp -o Models/PosteriorSamplers/IndependentMvnVarSampler.o
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp: In constructor ‘BOOM::IndependentMvnVarSampler::IndependentMvnVarSampler(BOOM::IndependentMvnModel*, const std::vector<BOOM::Ptr<BOOM::GammaModelBase> >&, BOOM::Vector, BOOM::RNG&)’:
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp:33:23: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
33 | if (priors.size() != model->dim()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp:41:30: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
41 | if (sd_max_values.size() != model->dim()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp: In member function ‘virtual BOOM::IndependentMvnVarSampler* BOOM::IndependentMvnVarSampler::clone_to_new_host(BOOM::Model*) const’:
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp:56:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
56 | for (int i = 0; i < priors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp: In member function ‘virtual double BOOM::IndependentMvnVarSampler::logpri() const’:
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp:70:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
70 | for (int i = 0; i < sigsq.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp: In member function ‘void BOOM::IndependentMvnVarSampler::set_sigma_max(const BOOM::Vector&)’:
Models/PosteriorSamplers/IndependentMvnVarSampler.cpp:93:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
93 | for (int i = 0; i < sigma_max.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MarkovConjSampler.cpp -o Models/PosteriorSamplers/MarkovConjSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/MarkovConjSampler.hpp:23,
from Models/PosteriorSamplers/MarkovConjSampler.cpp:20:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MarkovConjShrinkageSampler.cpp -o Models/PosteriorSamplers/MarkovConjShrinkageSampler.o
In file included from Models/PosteriorSamplers/MarkovConjShrinkageSampler.cpp:21:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MultinomialDirichletSampler.cpp -o Models/PosteriorSamplers/MultinomialDirichletSampler.o
Models/PosteriorSamplers/MultinomialDirichletSampler.cpp: In constructor ‘BOOM::ConstrainedMultinomialDirichletSampler::ConstrainedMultinomialDirichletSampler(BOOM::MultinomialModel*, const BOOM::Vector&, BOOM::RNG&)’:
Models/PosteriorSamplers/MultinomialDirichletSampler.cpp:76:30: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
76 | if (prior_counts_.size() != model->dim()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
Models/PosteriorSamplers/MultinomialDirichletSampler.cpp: In member function ‘virtual void BOOM::ConstrainedMultinomialDirichletSampler::draw()’:
Models/PosteriorSamplers/MultinomialDirichletSampler.cpp:95:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
95 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MvnConjSampler.cpp -o Models/PosteriorSamplers/MvnConjSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp -o Models/PosteriorSamplers/MvnIndependentVarianceSampler.o
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp: In constructor ‘BOOM::MvnIndependentVarianceSampler::MvnIndependentVarianceSampler(BOOM::MvnModel*, const std::vector<BOOM::Ptr<BOOM::GammaModelBase> >&, const BOOM::Vector&, BOOM::RNG&)’:
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp:33:22: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
33 | if (model->dim() != siginv_priors.size()) {
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp:39:22: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | if (model->dim() != sigma_max_values.size()) {
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp: In member function ‘virtual BOOM::MvnIndependentVarianceSampler* BOOM::MvnIndependentVarianceSampler::clone_to_new_host(BOOM::Model*) const’:
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp:65:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
65 | for (int i = 0; i < priors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp: In member function ‘virtual double BOOM::MvnIndependentVarianceSampler::logpri() const’:
Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp:92:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
92 | for (int i = 0; i < priors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MvnMeanSampler.cpp -o Models/PosteriorSamplers/MvnMeanSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/MvnVarSampler.cpp -o Models/PosteriorSamplers/MvnVarSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/PoissonGammaPosteriorSampler.cpp -o Models/PosteriorSamplers/PoissonGammaPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/PoissonGammaSampler.cpp -o Models/PosteriorSamplers/PoissonGammaSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/PosteriorSampler.cpp -o Models/PosteriorSamplers/PosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ProductDirichletPosteriorSampler.cpp -o Models/PosteriorSamplers/ProductDirichletPosteriorSampler.o
Models/PosteriorSamplers/ProductDirichletPosteriorSampler.cpp: In member function ‘virtual BOOM::PDPS* BOOM::ProductDirichletPosteriorSampler::clone_to_new_host(BOOM::Model*) const’:
Models/PosteriorSamplers/ProductDirichletPosteriorSampler.cpp:31:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::VectorModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
31 | for (int i = 0; i < phi_row_prior_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/SepStratSampler.cpp -o Models/PosteriorSamplers/SepStratSampler.o
Models/PosteriorSamplers/SepStratSampler.cpp: In member function ‘double BOOM::SepStratSampler::logprior(const BOOM::SpdMatrix&) const’:
Models/PosteriorSamplers/SepStratSampler.cpp:164:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
164 | for (int i = 0; i < sd_.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/SharedSigsqSampler.cpp -o Models/PosteriorSamplers/SharedSigsqSampler.o
Models/PosteriorSamplers/SharedSigsqSampler.cpp: In member function ‘virtual void BOOM::SharedSigsqSampler::draw()’:
Models/PosteriorSamplers/SharedSigsqSampler.cpp:40:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::GaussianModelBase*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | for (uint i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ZeroInflatedGammaPosteriorSampler.cpp -o Models/PosteriorSamplers/ZeroInflatedGammaPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ZeroInflatedLognormalPosteriorSampler.cpp -o Models/PosteriorSamplers/ZeroInflatedLognormalPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ZeroInflatedPoissonSampler.cpp -o Models/PosteriorSamplers/ZeroInflatedPoissonSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ZeroMeanGaussianConjSampler.cpp -o Models/PosteriorSamplers/ZeroMeanGaussianConjSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ZeroMeanMvnConjSampler.cpp -o Models/PosteriorSamplers/ZeroMeanMvnConjSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp -o Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.o
Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp: In constructor ‘BOOM::ZeroMeanMvnCompositeIndependenceSampler::ZeroMeanMvnCompositeIndependenceSampler(BOOM::ZeroMeanMvnModel*, const std::vector<BOOM::Ptr<BOOM::GammaModelBase> >&, const BOOM::Vector&, BOOM::RNG&)’:
Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp:84:23: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
84 | if (model_->dim() != priors_.size()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp:91:23: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
91 | if (model_->dim() != sigma_upper_truncation_points.size()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp:98:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for (int i = 0; i < sigma_upper_truncation_points.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp:109:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
109 | for (int i = 0; i < priors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/Brent.cpp -o numopt/Brent.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/Integral.cpp -o numopt/Integral.o
numopt/Integral.cpp: In member function ‘void BOOM::Integral::set_work_vector_size(int)’:
numopt/Integral.cpp:2331:27: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2331 | if (4 * iwork_.size() < lenw) {
| ~~~~~~~~~~~~~~~~~~^~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/LinearAssignment.cpp -o numopt/LinearAssignment.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/MarkovDecisionProcess.cpp -o numopt/MarkovDecisionProcess.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/Negate.cpp -o numopt/Negate.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/NelderMead.cpp -o numopt/NelderMead.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/NumericalDerivatives.cpp -o numopt/NumericalDerivatives.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/Powell.cpp -o numopt/Powell.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/Qlearning.cpp -o numopt/Qlearning.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/ScalarLaplaceApproximation.cpp -o numopt/ScalarLaplaceApproximation.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/ScalarNewtonMax.cpp -o numopt/ScalarNewtonMax.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/bfgs.cpp -o numopt/bfgs.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/conj_grad.cpp -o numopt/conj_grad.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/initialize_derivatives.cpp -o numopt/initialize_derivatives.o
numopt/initialize_derivatives.cpp: In function ‘void BOOM::initialize_derivatives(Vector*, Matrix*, int, bool)’:
numopt/initialize_derivatives.cpp:38:40: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
38 | if (gradient && gradient->size() != dimension) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/max_nd.cpp -o numopt/max_nd.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/nelder_mead.cpp -o numopt/nelder_mead.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/newton.cpp -o numopt/newton.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c numopt/simulated_annealing.cpp -o numopt/simulated_annealing.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Nnet/GaussianFeedForwardNeuralNetwork.cpp -o Models/Nnet/GaussianFeedForwardNeuralNetwork.o
In file included from ../inst/include/Models/Nnet/GaussianFeedForwardNeuralNetwork.hpp:21,
from Models/Nnet/GaussianFeedForwardNeuralNetwork.cpp:19:
../inst/include/Models/Nnet/Nnet.hpp: In function ‘void BOOM::Nnet::to_binary(const BOOM::Vector&, std::vector<bool>&)’:
../inst/include/Models/Nnet/Nnet.hpp:40:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | for (int i = 0; i < numeric.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Nnet/Nnet.cpp -o Models/Nnet/Nnet.o
In file included from Models/Nnet/Nnet.cpp:19:
../inst/include/Models/Nnet/Nnet.hpp: In function ‘void BOOM::Nnet::to_binary(const BOOM::Vector&, std::vector<bool>&)’:
../inst/include/Models/Nnet/Nnet.hpp:40:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | for (int i = 0; i < numeric.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In copy constructor ‘BOOM::HiddenLayer::HiddenLayer(const BOOM::HiddenLayer&)’:
Models/Nnet/Nnet.cpp:37:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialLogitModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
37 | for (int i = 0; i < rhs.models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In member function ‘BOOM::HiddenLayer& BOOM::HiddenLayer::operator=(const BOOM::HiddenLayer&)’:
Models/Nnet/Nnet.cpp:46:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialLogitModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | for (int i = 0; i < models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In member function ‘void BOOM::HiddenLayer::predict(const BOOM::Vector&, BOOM::Vector&) const’:
Models/Nnet/Nnet.cpp:62:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
62 | if (inputs.size() != input_dimension() ||
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp:63:24: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
63 | outputs.size() != output_dimension()) {
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp:68:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
68 | for (int i = 0; i < outputs.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In copy constructor ‘BOOM::FeedForwardNeuralNetwork::FeedForwardNeuralNetwork(const BOOM::{anonymous}::FFNN&)’:
Models/Nnet/Nnet.cpp:85:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::HiddenLayer> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
85 | for (int i = 0; i < rhs.hidden_layers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In member function ‘BOOM::{anonymous}::FFNN& BOOM::FeedForwardNeuralNetwork::operator=(const BOOM::{anonymous}::FFNN&)’:
Models/Nnet/Nnet.cpp:95:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::HiddenLayer> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
95 | for (int i = 0; i < rhs.hidden_layers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In member function ‘void BOOM::FeedForwardNeuralNetwork::fill_activation_probabilities(const BOOM::Vector&, std::vector<BOOM::Vector>&) const’:
Models/Nnet/Nnet.cpp:129:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::HiddenLayer> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
129 | for (int i = 0; i < hidden_layers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/Nnet.cpp: In member function ‘std::vector<BOOM::Vector> BOOM::FeedForwardNeuralNetwork::activation_probability_workspace() const’:
Models/Nnet/Nnet.cpp:137:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::HiddenLayer> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
137 | for (int i = 0; i < hidden_layers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp -o Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.o
In file included from ../inst/include/Models/Nnet/GaussianFeedForwardNeuralNetwork.hpp:21,
from ../inst/include/Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.hpp:21,
from Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:19:
../inst/include/Models/Nnet/Nnet.hpp: In function ‘void BOOM::Nnet::to_binary(const BOOM::Vector&, std::vector<bool>&)’:
../inst/include/Models/Nnet/Nnet.hpp:40:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | for (int i = 0; i < numeric.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp: In member function ‘void BOOM::GaussianFeedForwardPosteriorSampler::impute_hidden_layer_outputs(BOOM::RNG&)’:
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:60:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
60 | for (int i = 0; i < model_->dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp: In function ‘std::pair<double, double> BOOM::summarize_logit_data(const std::vector<Ptr<BinomialRegressionData>, std::allocator<Ptr<BinomialRegressionData> > >&)’:
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:84:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
84 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp: In member function ‘double BOOM::GaussianFeedForwardPosteriorSampler::terminal_inputs_log_full_conditional(double, const BOOM::Vector&, const BOOM::Vector&, const BOOM::Vector&) const’:
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:136:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
136 | for (int i = 0; i < binary_inputs.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp: In member function ‘void BOOM::GaussianFeedForwardPosteriorSampler::ensure_space_for_latent_data()’:
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:148:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
148 | for (int i = 0; i < model_->dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp: In member function ‘void BOOM::GaussianFeedForwardPosteriorSampler::ensure_imputers()’:
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:161:29: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::HiddenLayerImputer>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
161 | while (imputers_.size() < model_->number_of_hidden_layers()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp: In member function ‘void BOOM::GaussianFeedForwardPosteriorSampler::impute_terminal_layer_inputs(BOOM::RNG&, double, std::vector<bool>&, BOOM::Vector&, BOOM::Vector&)’:
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:188:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
188 | for (int i = 0; i < logprob.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/GaussianFeedForwardPosteriorSampler.cpp:196:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
196 | for (int i = 0; i < terminal_layer_inputs.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp -o Models/Nnet/PosteriorSamplers/HiddenLayerImputer.o
In file included from ../inst/include/Models/Nnet/PosteriorSamplers/HiddenLayerImputer.hpp:21,
from Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:19:
../inst/include/Models/Nnet/Nnet.hpp: In function ‘void BOOM::Nnet::to_binary(const BOOM::Vector&, std::vector<bool>&)’:
../inst/include/Models/Nnet/Nnet.hpp:40:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
40 | for (int i = 0; i < numeric.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp: In member function ‘void BOOM::HiddenLayerImputer::impute_inputs(BOOM::RNG&, BOOM::Nnet::HiddenNodeValues&, BOOM::Vector&, BOOM::Vector&, BOOM::Vector&)’:
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:41:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
41 | for (int i = 0; i < allocation_probs.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:50:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
50 | for (int i = 0; i < input_workspace.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp: In member function ‘double BOOM::HiddenLayerImputer::input_full_conditional(const BOOM::Vector&, const std::vector<bool>&, const BOOM::Vector&, const BOOM::Vector&) const’:
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:80:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<bool>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
80 | for (int node = 0; node < outputs.size(); ++node) {
| ~~~~~^~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:84:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
84 | for (int i = 0; i < inputs.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp: In member function ‘void BOOM::HiddenLayerImputer::clear_latent_data()’:
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:107:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
107 | for (int i = 0; i < latent_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp: In member function ‘void BOOM::HiddenLayerImputer::store_latent_data(BOOM::Nnet::HiddenNodeValues&)’:
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:126:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
126 | for (int i = 0; i < data_row.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp: In member function ‘void BOOM::HiddenLayerImputer::store_initial_layer_latent_data(const std::vector<bool>&, const BOOM::Ptr<BOOM::GlmBaseData>&)’:
Models/Nnet/PosteriorSamplers/HiddenLayerImputer.cpp:186:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
186 | for (int i = 0; i < data_row.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/BoundedPoissonProcessSimulator.cpp -o Models/PointProcess/BoundedPoissonProcessSimulator.o
Models/PointProcess/BoundedPoissonProcessSimulator.cpp: In member function ‘BOOM::PointProcess BOOM::BoundedPoissonProcessSimulator::simulate(BOOM::RNG&, const BOOM::DateTime&, const BOOM::DateTime&, const std::function<BOOM::Data*()>&) const’:
Models/PointProcess/BoundedPoissonProcessSimulator.cpp:39:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | for (int i = 0; i < times.size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/CosinePoissonProcess.cpp -o Models/PointProcess/CosinePoissonProcess.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/HomogeneousPoissonProcess.cpp -o Models/PointProcess/HomogeneousPoissonProcess.o
In file included from ../inst/include/Models/PointProcess/HomogeneousPoissonProcess.hpp:27,
from Models/PointProcess/HomogeneousPoissonProcess.cpp:18:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::PointProcess; S = BOOM::PoissonProcessSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::PointProcess; S = BOOM::PoissonProcessSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/PointProcess/HomogeneousPoissonProcess.hpp:66:9: required from here
66 | class HomogeneousPoissonProcess
| ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::PointProcess>, std::allocator<BOOM::Ptr<BOOM::PointProcess> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/MarkovModulatedPoissonProcess.cpp -o Models/PointProcess/MarkovModulatedPoissonProcess.o
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In function ‘std::vector<BOOM::PoissonProcess*> BOOM::{anonymous}::dumb(const std::vector<BOOM::Ptr<BOOM::PoissonProcess> >&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:72:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
72 | for (int i = 0; i < arg.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In constructor ‘BOOM::MmppHelper::ProcessInfo::ProcessInfo(const std::vector<BOOM::PoissonProcess*>&, const std::vector<BOOM::MixtureComponent*>&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:211:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
211 | for (int i = 0; i < processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
236 | for (int i = 0; i < processes.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:240:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
240 | for (int i = 0; i < processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MmppHelper::ProcessInfo::evaluate(const BOOM::PointProcess&, const BOOM::MmppHelper::SourceVector&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:283:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
283 | for (int i = 0; i < processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:296:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::MixtureComponent*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
296 | for (int i = 0; i < minimal_mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘double BOOM::MmppHelper::ProcessInfo::conditional_cumulative_hazard(const BOOM::MmppHelper::HmmState*, int) const’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:332:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
332 | for (int i = 0; i < processes.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::add_component_process(const BOOM::Ptr<BOOM::PoissonProcess>&, std::vector<BOOM::Ptr<BOOM::PoissonProcess> >, std::vector<BOOM::Ptr<BOOM::PoissonProcess> >, const BOOM::Ptr<BOOM::MixtureComponent>&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:404:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
404 | for (int i = 0; i < spawns.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:407:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
407 | for (int i = 0; i < kills.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::make_hmm_states(const std::vector<BOOM::Ptr<BOOM::PoissonProcess> >&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:439:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MmppHelper::HmmState> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
439 | for (int i = 0; i < hmm_states_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:451:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MmppHelper::HmmState> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
451 | for (int i = 0; i < hmm_states_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::add_supervised_data(const BOOM::Ptr<BOOM::PointProcess>&, const SourceVector&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:490:32: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::vector<BOOM::PoissonProcess*> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
490 | if (dp->number_of_events() != source.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::clear_client_data()’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:516:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
516 | for (int i = 0; i < component_processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:519:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
519 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘virtual double BOOM::MarkovModulatedPoissonProcess::impute_latent_data(BOOM::RNG&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:532:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PointProcess>, std::allocator<BOOM::Ptr<BOOM::PointProcess> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
532 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::burn()’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:544:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
544 | for (int i = 0; i < probability_of_responsibility_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:547:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
547 | for (int i = 0; i < probability_of_activity_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::sample_complete_data_posterior()’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:553:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
553 | for (int i = 0; i < component_processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:557:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
557 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘virtual double BOOM::MarkovModulatedPoissonProcess::logpri() const’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:569:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
569 | for (int i = 0; i < component_processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:573:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
573 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘double BOOM::MarkovModulatedPoissonProcess::filter(const BOOM::PointProcess&, const SourceVector&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:602:38: warning: comparison of integer expressions of different signedness: ‘std::vector<std::vector<BOOM::PoissonProcess*> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
602 | if (have_source && source.size() != process.number_of_events()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::update_exposure_time(const BOOM::PointProcess&, int, int)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:812:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
812 | for (int i = 0; i < active_processes.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘int BOOM::MarkovModulatedPoissonProcess::draw_previous_state(BOOM::RNG&, int, int)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:833:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::MmppHelper::HmmState*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
833 | for (int i = 0; i < potential_values.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘BOOM::PoissonProcess* BOOM::MarkovModulatedPoissonProcess::sample_responsible_process(BOOM::RNG&, int, int, const ProcessInfo&, int)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:867:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
867 | for (int i = 0; i < potential_culprits.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::record_activity(BOOM::VectorView, int)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:894:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
894 | for (int s = 0; s < active_processes.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::check_that_all_processes_have_been_registered()’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:911:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
911 | for (int i = 0; i < component_processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::check_for_new_process(const BOOM::Ptr<BOOM::PoissonProcess>&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:936:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonProcess> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
936 | for (int i = 0; i < component_processes_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘void BOOM::MarkovModulatedPoissonProcess::check_for_new_mixture_component(const BOOM::Ptr<BOOM::MixtureComponent>&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:952:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MixtureComponent> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
952 | for (int i = 0; i < mixture_components_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘BOOM::Ptr<BOOM::MmppHelper::HmmState> BOOM::MarkovModulatedPoissonProcess::check_for_new_hmm_state(const BOOM::Ptr<BOOM::MmppHelper::HmmState>&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:966:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::MmppHelper::HmmState> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
966 | for (int i = 0; i < hmm_states_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp: In member function ‘double BOOM::MarkovModulatedPoissonProcess::initialize_filter(const BOOM::PointProcess&)’:
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:1018:21: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
1018 | if (one_.size() != S) {
| ~~~~~~~~~~~~^~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:1023:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1023 | while (filter_.size() < data.number_of_events()) {
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/MarkovModulatedPoissonProcess.cpp:1029:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1029 | for (int i = 0; i < filter_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/PointProcess.cpp -o Models/PointProcess/PointProcess.o
Models/PointProcess/PointProcess.cpp: In constructor ‘BOOM::PointProcess::PointProcess(const std::vector<BOOM::DateTime>&, const std::vector<BOOM::Ptr<BOOM::Data> >&)’:
Models/PointProcess/PointProcess.cpp:124:22: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::Data> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
124 | if (marks.size() != n) {
| ~~~~~~~~~~~~~^~~~
Models/PointProcess/PointProcess.cpp: In member function ‘void BOOM::PointProcess::check_legal_event_number(int) const’:
Models/PointProcess/PointProcess.cpp:161:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PointProcessEvent>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
161 | if (events_.empty() || i < 0 || i >= events_.size()) {
| ~~^~~~~~~~~~~~~~~~~
Models/PointProcess/PointProcess.cpp: In member function ‘double BOOM::PointProcess::arrival_time(int) const’:
Models/PointProcess/PointProcess.cpp:225:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PointProcessEvent>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
225 | if (i == events_.size()) return end_ - events_.back().timestamp();
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/PoissonClusterProcess.cpp -o Models/PointProcess/PoissonClusterProcess.o
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘virtual void BOOM::PoissonClusterProcess::clear_client_data()’:
Models/PointProcess/PoissonClusterProcess.cpp:174:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
174 | for (int i = 0; i < probability_of_activity_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘void BOOM::PoissonClusterProcess::impute_latent_data(BOOM::RNG&)’:
Models/PointProcess/PoissonClusterProcess.cpp:187:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PointProcess>, std::allocator<BOOM::Ptr<BOOM::PointProcess> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
187 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘double BOOM::PoissonClusterProcess::conditional_cumulative_hazard(const BOOM::DateTime&, const BOOM::DateTime&, int) const’:
Models/PointProcess/PoissonClusterProcess.cpp:251:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
251 | for (int i = 0; i < active.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘double BOOM::PoissonClusterProcess::initialize_filter(const BOOM::PointProcess&)’:
Models/PointProcess/PoissonClusterProcess.cpp:289:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
289 | while (filter_.size() < data.number_of_events()) {
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp:295:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
295 | for (int i = 0; i < filter_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘double BOOM::PoissonClusterProcess::fwd_1(const BOOM::PointProcess&, int, int)’:
Models/PointProcess/PoissonClusterProcess.cpp:329:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
329 | for (int ss = 0; ss < target.size(); ++ss) {
| ~~~^~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘std::vector<BOOM::PoissonProcess*> BOOM::PoissonClusterProcess::subset_matching_source(std::vector<BOOM::PoissonProcess*>&, int)’:
Models/PointProcess/PoissonClusterProcess.cpp:484:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
484 | for (int i = 0; i < candidates.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘std::vector<const BOOM::PoissonProcess*> BOOM::PoissonClusterProcess::subset_matching_source(const std::vector<BOOM::PoissonProcess*>&, int) const’:
Models/PointProcess/PoissonClusterProcess.cpp:503:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
503 | for (int i = 0; i < candidates.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘void BOOM::PoissonClusterProcess::update_exposure_time(const BOOM::PointProcess&, int, int, int)’:
Models/PointProcess/PoissonClusterProcess.cpp:588:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
588 | for (int process = 0; process < running.size(); ++process) {
| ~~~~~~~~^~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘void BOOM::PoissonClusterProcess::add_supervised_data(const BOOM::Ptr<BOOM::PointProcess>&, const std::vector<int>&)’:
Models/PointProcess/PoissonClusterProcess.cpp:622:32: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
622 | if (dp->number_of_events() != source.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp:630:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
630 | for (int i = 0; i < source.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘virtual BOOM::PointProcess BOOM::PoissonClusterProcess::simulate(BOOM::RNG&, const BOOM::DateTime&, const BOOM::DateTime&, std::function<BOOM::Data*()>, std::function<BOOM::Data*()>) const’:
Models/PointProcess/PoissonClusterProcess.cpp:671:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::PoissonProcess*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
671 | for (int p = 0; p < all_processes.size(); ++p) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/PointProcess/PoissonClusterProcess.cpp: In member function ‘void BOOM::PoissonClusterProcess::record_activity_distribution(BOOM::VectorView, const BOOM::Matrix&)’:
Models/PointProcess/PoissonClusterProcess.cpp:726:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
726 | for (int r = 0; r < wsp_.size(); ++r) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/WeeklyCyclePoissonProcess.cpp -o Models/PointProcess/WeeklyCyclePoissonProcess.o
Models/PointProcess/WeeklyCyclePoissonProcess.cpp: In member function ‘virtual BOOM::PointProcess BOOM::WeeklyCyclePoissonProcess::simulate(BOOM::RNG&, const BOOM::DateTime&, const BOOM::DateTime&, std::function<BOOM::Data*()>) const’:
Models/PointProcess/WeeklyCyclePoissonProcess.cpp:419:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
419 | for (int i = 0; i < times.size(); ++i) {
| ~~^~~~~~~~~~~~~~
In file included from ../inst/include/Models/PointProcess/WeeklyCyclePoissonProcess.hpp:26,
from Models/PointProcess/WeeklyCyclePoissonProcess.cpp:19:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::PointProcess; S = BOOM::WeeklyCyclePoissonSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::PointProcess; S = BOOM::WeeklyCyclePoissonSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/PointProcess/WeeklyCyclePoissonProcess.hpp:77:9: required from here
77 | class WeeklyCyclePoissonProcess
| ^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::PointProcess>, std::allocator<BOOM::Ptr<BOOM::PointProcess> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/PosteriorSamplers/HomogPoissonProcessPosteriorSampler.cpp -o Models/PointProcess/PosteriorSamplers/HomogPoissonProcessPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/PosteriorSamplers/MmppPosteriorSampler.cpp -o Models/PointProcess/PosteriorSamplers/MmppPosteriorSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/PointProcess/PosteriorSamplers/WeeklyCyclePoissonProcessSampler.cpp -o Models/PointProcess/PosteriorSamplers/WeeklyCyclePoissonProcessSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/bd0.cpp -o Bmath/bd0.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/bessel_k.cpp -o Bmath/bessel_k.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/beta.cpp -o Bmath/beta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/chebyshev.cpp -o Bmath/chebyshev.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/choose.cpp -o Bmath/choose.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/d1mach.cpp -o Bmath/d1mach.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dbeta.cpp -o Bmath/dbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dbinom.cpp -o Bmath/dbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dcauchy.cpp -o Bmath/dcauchy.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dchisq.cpp -o Bmath/dchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dexp.cpp -o Bmath/dexp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/df.cpp -o Bmath/df.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dgamma.cpp -o Bmath/dgamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dgeom.cpp -o Bmath/dgeom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dhyper.cpp -o Bmath/dhyper.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dlnorm.cpp -o Bmath/dlnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dlogis.cpp -o Bmath/dlogis.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dnbeta.cpp -o Bmath/dnbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dnbinom.cpp -o Bmath/dnbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dnchisq.cpp -o Bmath/dnchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dnorm.cpp -o Bmath/dnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dpois.cpp -o Bmath/dpois.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dt.cpp -o Bmath/dt.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dunif.cpp -o Bmath/dunif.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/dweibull.cpp -o Bmath/dweibull.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/fprec.cpp -o Bmath/fprec.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/fround.cpp -o Bmath/fround.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/fsign.cpp -o Bmath/fsign.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/ftrunc.cpp -o Bmath/ftrunc.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/gamma_cody.cpp -o Bmath/gamma_cody.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/gammalims.cpp -o Bmath/gammalims.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/i1mach.cpp -o Bmath/i1mach.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/lbeta.cpp -o Bmath/lbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/lgammacor.cpp -o Bmath/lgammacor.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/mathlib_error.cpp -o Bmath/mathlib_error.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/mlutils.cpp -o Bmath/mlutils.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pbeta.cpp -o Bmath/pbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pbinom.cpp -o Bmath/pbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pcauchy.cpp -o Bmath/pcauchy.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pchisq.cpp -o Bmath/pchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pexp.cpp -o Bmath/pexp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pf.cpp -o Bmath/pf.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pgamma.cpp -o Bmath/pgamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pgeom.cpp -o Bmath/pgeom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/phyper.cpp -o Bmath/phyper.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/plnorm.cpp -o Bmath/plnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/plogis.cpp -o Bmath/plogis.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pnbeta.cpp -o Bmath/pnbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pnbinom.cpp -o Bmath/pnbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pnchisq.cpp -o Bmath/pnchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pnf.cpp -o Bmath/pnf.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pnorm.cpp -o Bmath/pnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pnt.cpp -o Bmath/pnt.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/polygamma.cpp -o Bmath/polygamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/ppois.cpp -o Bmath/ppois.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pt.cpp -o Bmath/pt.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/ptukey.cpp -o Bmath/ptukey.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/punif.cpp -o Bmath/punif.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/pweibull.cpp -o Bmath/pweibull.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qbeta.cpp -o Bmath/qbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qbinom.cpp -o Bmath/qbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qcauchy.cpp -o Bmath/qcauchy.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qchisq.cpp -o Bmath/qchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qexp.cpp -o Bmath/qexp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qf.cpp -o Bmath/qf.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qgamma.cpp -o Bmath/qgamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qgeom.cpp -o Bmath/qgeom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qhyper.cpp -o Bmath/qhyper.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qlnorm.cpp -o Bmath/qlnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qlogis.cpp -o Bmath/qlogis.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qnbinom.cpp -o Bmath/qnbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qnchisq.cpp -o Bmath/qnchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qnorm.cpp -o Bmath/qnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qpois.cpp -o Bmath/qpois.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qt.cpp -o Bmath/qt.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qtukey.cpp -o Bmath/qtukey.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qunif.cpp -o Bmath/qunif.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/qweibull.cpp -o Bmath/qweibull.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rbeta.cpp -o Bmath/rbeta.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rbinom.cpp -o Bmath/rbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rcauchy.cpp -o Bmath/rcauchy.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rchisq.cpp -o Bmath/rchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rexp.cpp -o Bmath/rexp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rf.cpp -o Bmath/rf.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rgamma.cpp -o Bmath/rgamma.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rgeom.cpp -o Bmath/rgeom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rhyper.cpp -o Bmath/rhyper.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rlnorm.cpp -o Bmath/rlnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rloggamma_small_alpha.cpp -o Bmath/rloggamma_small_alpha.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rlogis.cpp -o Bmath/rlogis.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rmultinom.cpp -o Bmath/rmultinom.o
Bmath/rmultinom.cpp: In function ‘void Rmath::rmultinom_mt(BOOM::RNG&, int, const std::vector<double>&, std::vector<int>&)’:
Bmath/rmultinom.cpp:91:17: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
91 | if(rN.size()!=K) rN.resize(K);
| ~~~~~~~~~^~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rnbinom.cpp -o Bmath/rnbinom.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rnchisq.cpp -o Bmath/rnchisq.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rnorm.cpp -o Bmath/rnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rpois.cpp -o Bmath/rpois.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rt.cpp -o Bmath/rt.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/runif.cpp -o Bmath/runif.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/rweibull.cpp -o Bmath/rweibull.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/sexp.cpp -o Bmath/sexp.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/sign.cpp -o Bmath/sign.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/snorm.cpp -o Bmath/snorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/stirlerr.cpp -o Bmath/stirlerr.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/toms708.cpp -o Bmath/toms708.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Bmath/unif_rand.cpp -o Bmath/unif_rand.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/ARMS.cpp -o Samplers/ARMS.o
Samplers/ARMS.cpp: In member function ‘virtual BOOM::Vector BOOM::ArmsSampler::draw(const BOOM::Vector&)’:
Samplers/ARMS.cpp:59:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
59 | for (uint i = 0; i < x_.size(); ++i) {
| ~~^~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/DirectProposal.cpp -o Samplers/DirectProposal.o
In file included from ../inst/include/Models/MvnModel.hpp:28,
from ../inst/include/Samplers/DirectProposal.hpp:23,
from Samplers/DirectProposal.cpp:20:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::VectorData; S = BOOM::MvnSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:145:5: required from ‘void BOOM::SufstatDataPolicy<D, S>::set_data(const DatasetType&) [with D = BOOM::VectorData; S = BOOM::MvnSuf; DatasetType = std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >]’
145 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:143:8: required from here
143 | void SufstatDataPolicy<D, S>::set_data(const DatasetType &d) {
| ^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::VectorData>, std::allocator<BOOM::Ptr<BOOM::VectorData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/ImportanceResampler.cpp -o Samplers/ImportanceResampler.o
Samplers/ImportanceResampler.cpp: In member function ‘std::pair<BOOM::Matrix, BOOM::Vector> BOOM::ImportanceResampler::draw(int, BOOM::RNG&)’:
Samplers/ImportanceResampler.cpp:55:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
55 | for (int i = 0; i < resampling_counts.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Samplers/ImportanceResampler.cpp:64:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
64 | for (int i = 0; i < resampling_counts.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/MH_Proposals.cpp -o Samplers/MH_Proposals.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/MetropolisHastings.cpp -o Samplers/MetropolisHastings.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/MoveAccounting.cpp -o Samplers/MoveAccounting.o
Samplers/MoveAccounting.cpp: In function ‘std::map<std::__cxx11::basic_string<char>, int> BOOM::{anonymous}::reverse_lookup(const std::vector<std::__cxx11::basic_string<char> >&)’:
Samplers/MoveAccounting.cpp:47:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | for (int i = 0; i < names.size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/RejectionSampler.cpp -o Samplers/RejectionSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/Sampler.cpp -o Samplers/Sampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/ScalarAdaptiveRejectionSampler.cpp -o Samplers/ScalarAdaptiveRejectionSampler.o
Samplers/ScalarAdaptiveRejectionSampler.cpp: In member function ‘void BOOM::ARS::PiecewiseExponentialApproximation::recompute_region_probabilities()’:
Samplers/ScalarAdaptiveRejectionSampler.cpp:212:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
212 | for (int i = 0; i < log_region_probability_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/ScalarLangevinSampler.cpp -o Samplers/ScalarLangevinSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/ScalarSliceSampler.cpp -o Samplers/ScalarSliceSampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/SliceSampler.cpp -o Samplers/SliceSampler.o
Samplers/SliceSampler.cpp: In member function ‘void BOOM::SliceSampler::set_random_direction()’:
Samplers/SliceSampler.cpp:79:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
79 | for (uint i = 0; i < random_direction_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/TIM.cpp -o Samplers/TIM.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/UnivariateLangevinSampler.cpp -o Samplers/UnivariateLangevinSampler.o
Samplers/UnivariateLangevinSampler.cpp: In member function ‘virtual BOOM::Vector BOOM::UnivariateLangevinSampler::draw(const BOOM::Vector&)’:
Samplers/UnivariateLangevinSampler.cpp:37:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
37 | for (int i = 0; i < x_.size(); ++i) {
| ~~^~~~~~~~~~~
Samplers/UnivariateLangevinSampler.cpp: In member function ‘void BOOM::UnivariateLangevinSampler::allow_adaptation(bool)’:
Samplers/UnivariateLangevinSampler.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ScalarLangevinSampler>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (int i = 0; i < scalar_samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/UnivariateSliceSampler.cpp -o Samplers/UnivariateSliceSampler.o
Samplers/UnivariateSliceSampler.cpp: In member function ‘virtual BOOM::Vector BOOM::UnivariateSliceSampler::draw(const BOOM::Vector&)’:
Samplers/UnivariateSliceSampler.cpp:45:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ScalarSliceSampler>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (int i = 0; i < scalar_samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Samplers/Gilks/arms.cpp -o Samplers/Gilks/arms.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/AsciiDistributionCompare.cpp -o stats/AsciiDistributionCompare.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/Bspline.cpp -o stats/Bspline.o
stats/Bspline.cpp: In constructor ‘BOOM::Bspline::Bspline(const BOOM::Vector&, int)’:
stats/Bspline.cpp:45:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (int i = 1; i < sorted_knots.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/ChiSquareTest.cpp -o stats/ChiSquareTest.o
stats/ChiSquareTest.cpp: In constructor ‘BOOM::OneWayChiSquareTest::OneWayChiSquareTest(const BOOM::Vector&, const BOOM::Vector&, double)’:
stats/ChiSquareTest.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (int i = 0; i < observed_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
stats/ChiSquareTest.cpp: In member function ‘bool BOOM::OneWayChiSquareTest::is_valid() const’:
stats/ChiSquareTest.cpp:73:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
73 | for (int i = 0; i < expected_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/DataTable.cpp -o stats/DataTable.o
stats/DataTable.cpp: In member function ‘void BOOM::DataTypeIndex::diagnose_types(const std::vector<std::__cxx11::basic_string<char> >&)’:
stats/DataTable.cpp:81:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
81 | for (uint i = 0; i < fields.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
stats/DataTable.cpp: In copy constructor ‘BOOM::MixedMultivariateData::MixedMultivariateData(const BOOM::MixedMultivariateData&)’:
stats/DataTable.cpp:136:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
136 | for (int i = 0; i < rhs.numeric_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp:139:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LabeledCategoricalData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
139 | for (int i = 0; i < rhs.categorical_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp: In member function ‘BOOM::MixedMultivariateData& BOOM::MixedMultivariateData::operator=(const BOOM::MixedMultivariateData&)’:
stats/DataTable.cpp:149:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
149 | for (int i = 0; i < rhs.numeric_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp:154:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LabeledCategoricalData> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
154 | for (int i = 0; i < rhs.categorical_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp: In member function ‘BOOM::Vector BOOM::MixedMultivariateData::numeric_data() const’:
stats/DataTable.cpp:255:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
255 | for (int i = 0; i < numeric_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp: In constructor ‘BOOM::CategoricalVariable::CategoricalVariable(const std::vector<std::__cxx11::basic_string<char> >&)’:
stats/DataTable.cpp:265:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
265 | for (int i = 0; i < raw_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/DataTable.cpp: In member function ‘void BOOM::DataTable::read_file(const std::string&, bool, const std::string&)’:
stats/DataTable.cpp:368:25: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
368 | if (fields.size() != nfields) { // check number of fields
| ~~~~~~~~~~~~~~^~~~~~~~~~
stats/DataTable.cpp: In member function ‘virtual void BOOM::DataTable::append_variable(const BOOM::Vector&, const std::string&)’:
stats/DataTable.cpp:422:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
422 | if (nobs() > 0 && nobs() != v.size()) {
| ~~~~~~~^~~~~~~~~~~
stats/DataTable.cpp: In member function ‘BOOM::LabeledMatrix BOOM::DataTable::design(const BOOM::Selector&, bool) const’:
stats/DataTable.cpp:585:28: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
585 | for (uint i = 1; i < labs.size(); ++i) {
| ~~^~~~~~~~~~~~~
stats/DataTable.cpp: In member function ‘BOOM::DataTable& BOOM::DataTable::rbind(const BOOM::DataTable&)’:
stats/DataTable.cpp:605:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Vector>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
605 | for (int i = 0; i < numeric_variables_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp:608:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::CategoricalVariable>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
608 | for (int i = 0; i < categorical_variables_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp: In member function ‘BOOM::Ptr<BOOM::MixedMultivariateData> BOOM::DataTable::row(BOOM::uint) const’:
stats/DataTable.cpp:740:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Vector>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
740 | for (int i = 0; i < numeric_variables_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/DataTable.cpp:744:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::CategoricalVariable>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
744 | for (int i = 0; i < categorical_variables_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/Design.cpp -o stats/Design.o
stats/Design.cpp: In function ‘BOOM::LabeledMatrix BOOM::generate_design_matrix(const ExperimentStructure&, const RowBuilder&)’:
stats/Design.cpp:42:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
42 | for (int i = 0; i < configurations.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In function ‘BOOM::LabeledMatrix BOOM::generate_contextual_design_matrix(const ExperimentStructure&, const ContextualRowBuilder&)’:
stats/Design.cpp:89:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
89 | for (int i = 0; i < context_configurations.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In function ‘BOOM::LabeledMatrix BOOM::generate_experimental_design_matrix(const ExperimentStructure&, const ContextualRowBuilder&)’:
stats/Design.cpp:111:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
111 | for (int i = 0; i < configurations.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::ExperimentStructure::ExperimentStructure(const std::vector<std::__cxx11::basic_string<char> >&, const std::vector<std::vector<std::__cxx11::basic_string<char> > >&)’:
stats/Design.cpp:154:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::vector<std::__cxx11::basic_string<char> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
154 | for (int i = 0; i < level_names_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘void BOOM::FactorDummy::set_level(std::vector<int>&) const’:
stats/Design.cpp:263:30: warning: comparison of integer expressions of different signedness: ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
263 | if (configuration.size() <= factor_) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::Effect::Effect(const BOOM::Effect&, const BOOM::Effect&)’:
stats/Design.cpp:290:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::FactorDummy>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
290 | for (int i = 1; i < factors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘bool BOOM::Effect::eval(const std::vector<int>&) const’:
stats/Design.cpp:314:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::FactorDummy>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
314 | for (int i = 0; i < factors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘bool BOOM::Effect::has_factor(const BOOM::FactorDummy&) const’:
stats/Design.cpp:347:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::FactorDummy>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
347 | for (int i = 0; i < factors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘bool BOOM::Effect::models_factor(int) const’:
stats/Design.cpp:354:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::FactorDummy>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
354 | for (int i = 0; i < factors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘const BOOM::FactorDummy& BOOM::Effect::factor_dummy_for_factor(int) const’:
stats/Design.cpp:375:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::FactorDummy>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
375 | for (int i = 0; i < factors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘void BOOM::Effect::set_levels(std::vector<int>&) const’:
stats/Design.cpp:388:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::FactorDummy>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
388 | for (int i = 0; i < factors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::EffectGroup::EffectGroup(const BOOM::EffectGroup&, const BOOM::EffectGroup&)’:
stats/Design.cpp:602:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
602 | for (int i = 0; i < first.effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp:603:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
603 | for (int j = 0; j < second.effects_.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::ContextualEffectGroup::ContextualEffectGroup(const BOOM::ContextualEffectGroup&, const BOOM::ContextualEffectGroup&)’:
stats/Design.cpp:673:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
673 | for (int i = 0; i < first.effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp:674:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
674 | for (int j = 0; j < second.effects_.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In function ‘std::vector<BOOM::EffectGroup> BOOM::ExpandInteraction(const std::vector<EffectGroup>&, const std::vector<EffectGroup>&)’:
stats/Design.cpp:737:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::EffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
737 | for (int i = 0; i < first_set_of_effects.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp:738:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::EffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
738 | for (int j = 0; j < second_set_of_effects.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In function ‘std::vector<BOOM::ContextualEffectGroup> BOOM::ExpandInteraction(const std::vector<ContextualEffectGroup>&, const std::vector<ContextualEffectGroup>&)’:
stats/Design.cpp:766:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
766 | for (int i = 0; i < first_set_of_effects.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp:767:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
767 | for (int j = 0; j < second_set_of_effects.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::RowBuilder::RowBuilder(const std::vector<BOOM::EffectGroup>&, bool)’:
stats/Design.cpp:801:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::EffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
801 | for (int group = 0; group < effect_groups.size(); ++group) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp:803:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
803 | for (int e = 0; e < effects.size(); ++e) {
| ~~^~~~~~~~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::RowBuilder::RowBuilder(const BOOM::ExperimentStructure&, unsigned int)’:
stats/Design.cpp:819:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]
819 | if (interaction_order > xp.nfactors()) {
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
stats/Design.cpp:837:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare]
837 | for (int order = 2; order <= interaction_order; ++order) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~~
stats/Design.cpp:846:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
846 | for (int j = 0; j < last_effects.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘void BOOM::RowBuilder::add_effect_group(const BOOM::EffectGroup&)’:
stats/Design.cpp:883:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
883 | for (int i = 0; i < effects.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘int BOOM::RowBuilder::number_of_main_effects() const’:
stats/Design.cpp:890:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
890 | for (int i = 0; i < effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘int BOOM::RowBuilder::number_of_factors() const’:
stats/Design.cpp:898:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
898 | for (int i = 0; i < effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘std::vector<int> BOOM::RowBuilder::main_effect_positions(int) const’:
stats/Design.cpp:909:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
909 | for (int i = 0; i < effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘std::vector<std::vector<int> > BOOM::RowBuilder::second_order_interaction_positions(int, int) const’:
stats/Design.cpp:925:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
925 | for (int i = 0; i < effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp:949:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
949 | for (int i = 0; i < effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘void BOOM::RowBuilder::recover_configuration(const BOOM::ConstVectorView&, std::vector<int>&) const’:
stats/Design.cpp:981:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Effect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
981 | for (int i = 0; i < effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
stats/Design.cpp: In constructor ‘BOOM::ContextualRowBuilder::ContextualRowBuilder(const BOOM::ExperimentStructure&, const BOOM::ExperimentStructure&, int)’:
stats/Design.cpp:1043:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1043 | for (int j = 0; j < last_effects.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘void BOOM::ContextualRowBuilder::add_effect_group(const BOOM::ContextualEffectGroup&)’:
stats/Design.cpp:1075:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1075 | for (int i = 0; i < effects.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘std::vector<std::__cxx11::basic_string<char> > BOOM::ContextualRowBuilder::variable_names() const’:
stats/Design.cpp:1087:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1087 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘std::vector<int> BOOM::ContextualRowBuilder::main_effect_positions(int, bool) const’:
stats/Design.cpp:1096:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1096 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘int BOOM::ContextualRowBuilder::find_max_observed_level(int, bool) const’:
stats/Design.cpp:1123:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1123 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘std::vector<std::vector<int> > BOOM::ContextualRowBuilder::second_order_interaction_positions(int, bool, int, bool) const’:
stats/Design.cpp:1215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1215 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘BOOM::Vector BOOM::ContextualRowBuilder::build_row(const std::vector<int>&, const std::vector<int>&) const’:
stats/Design.cpp:1249:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1249 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘bool BOOM::ContextualRowBuilder::interaction_with_context() const’:
stats/Design.cpp:1256:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1256 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘BOOM::Selector BOOM::ContextualRowBuilder::pure_experiment() const’:
stats/Design.cpp:1267:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1267 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘BOOM::Selector BOOM::ContextualRowBuilder::pure_context() const’:
stats/Design.cpp:1279:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1279 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘BOOM::Selector BOOM::ContextualRowBuilder::experiment_context_interactions() const’:
stats/Design.cpp:1292:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1292 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘int BOOM::ContextualRowBuilder::number_of_experimental_factors() const’:
stats/Design.cpp:1305:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1305 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stats/Design.cpp: In member function ‘int BOOM::ContextualRowBuilder::number_of_contextual_factors() const’:
stats/Design.cpp:1318:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffect>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1318 | for (int i = 0; i < contextual_effects_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from stats/Design.cpp:27:
../inst/include/cpputil/make_unique_preserve_order.hpp: In instantiation of ‘std::vector<T> BOOM::make_unique_preserve_order(const std::vector<T>&) [with T = EffectGroup]’:
stats/Design.cpp:744:38: required from here
744 | return make_unique_preserve_order(ans);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/cpputil/make_unique_preserve_order.hpp:45:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::EffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (int i = 0; i < input.size(); ++i) {
| ~~^~~~~~~~~~~~~~
../inst/include/cpputil/make_unique_preserve_order.hpp: In instantiation of ‘std::vector<T> BOOM::make_unique_preserve_order(const std::vector<T>&) [with T = ContextualEffectGroup]’:
stats/Design.cpp:773:38: required from here
773 | return make_unique_preserve_order(ans);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/cpputil/make_unique_preserve_order.hpp:45:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::ContextualEffectGroup>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
45 | for (int i = 0; i < input.size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/ECDF.cpp -o stats/ECDF.o
stats/ECDF.cpp: In member function ‘double BOOM::ECDF::quantile(double) const’:
stats/ECDF.cpp:75:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
75 | || index + 1 == sorted_data_.size()) {
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/EmpiricalDensity.cpp -o stats/EmpiricalDensity.o
stats/EmpiricalDensity.cpp: In constructor ‘BOOM::EmpiricalDensity::EmpiricalDensity(const BOOM::ConstVectorView&, const BOOM::Vector&)’:
stats/EmpiricalDensity.cpp:51:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
51 | for (int i = 0; i < knots.size(); ++i) {
| ~~^~~~~~~~~~~~~~
stats/EmpiricalDensity.cpp: In member function ‘BOOM::Vector BOOM::EmpiricalDensity::operator()(const BOOM::Vector&) const’:
stats/EmpiricalDensity.cpp:67:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
67 | for (int i = 0; i < values.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/Encoders.cpp -o stats/Encoders.o
In file included from stats/Encoders.cpp:19:
../inst/include/stats/Encoders.hpp: In member function ‘virtual void BOOM::InteractionEncoder::encode_row(const BOOM::MixedMultivariateData&, BOOM::VectorView) const’:
../inst/include/stats/Encoders.hpp:123:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
123 | for (int i = 0; i < wsp1_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
../inst/include/stats/Encoders.hpp:124:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
124 | for (int j = 0; j < wsp2_.size(); ++j) {
| ~~^~~~~~~~~~~~~~
stats/Encoders.cpp: In member function ‘BOOM::Matrix BOOM::EffectsEncoder::encode(const BOOM::CategoricalVariable&) const’:
stats/Encoders.cpp:72:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
72 | for (size_t i = 0; i < variable.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/FreqDist.cpp -o stats/FreqDist.o
stats/FreqDist.cpp: In member function ‘std::string BOOM::FrequencyDistribution::mode() const’:
stats/FreqDist.cpp:117:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
117 | for (int i = 0; i < counts_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
stats/FreqDist.cpp: In member function ‘int BOOM::FrequencyDistribution::count(const std::string&) const’:
stats/FreqDist.cpp:127:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
127 | for (int i = 0; i < labs_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
stats/FreqDist.cpp: In constructor ‘BOOM::BucketedFrequencyDistribution::BucketedFrequencyDistribution(const BOOM::Vector&, const BOOM::Vector&)’:
stats/FreqDist.cpp:152:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
152 | for (int bucket = 0; bucket < cutpoints_.size(); ++bucket) {
| ~~~~~~~^~~~~~~~~~~~~~~~~~~
stats/FreqDist.cpp:153:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
153 | for (; i < x.size(); ++i) {
| ~~^~~~~~~~~~
stats/FreqDist.cpp: In member function ‘std::vector<std::__cxx11::basic_string<char> > BOOM::BucketedFrequencyDistribution::create_labels() const’:
stats/FreqDist.cpp:167:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
167 | for (int i = 0; i < cutpoints_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
stats/FreqDist.cpp: In instantiation of ‘std::vector<int> BOOM::{anonymous}::count_values(const std::vector<_RealType>&, std::vector<std::__cxx11::basic_string<char> >&, bool) [with INT = long int]’:
stats/FreqDist.cpp:64:27: required from here
64 | counts_ = count_values(y, labs_, contiguous);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stats/FreqDist.cpp:39:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
stats/FreqDist.cpp: In instantiation of ‘std::vector<int> BOOM::{anonymous}::count_values(const std::vector<_RealType>&, std::vector<std::__cxx11::basic_string<char> >&, bool) [with INT = int]’:
stats/FreqDist.cpp:69:27: required from here
69 | counts_ = count_values(y, labs_, contiguous);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stats/FreqDist.cpp:39:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
stats/FreqDist.cpp: In instantiation of ‘std::vector<int> BOOM::{anonymous}::count_values(const std::vector<_RealType>&, std::vector<std::__cxx11::basic_string<char> >&, bool) [with INT = long unsigned int]’:
stats/FreqDist.cpp:74:27: required from here
74 | counts_ = count_values(y, labs_, contiguous);
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
stats/FreqDist.cpp:39:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<long unsigned int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/IQagent.cpp -o stats/IQagent.o
stats/IQagent.cpp: In member function ‘void BOOM::IQagent::add(double)’:
stats/IQagent.cpp:67:29: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
67 | if (data_buffer_.size() > max_buffer_size_) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stats/IQagent.cpp: In member function ‘void BOOM::IQagent::add(const BOOM::Vector&)’:
stats/IQagent.cpp:74:29: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
74 | if (data_buffer_.size() > max_buffer_size_) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/Mspline.cpp -o stats/Mspline.o
stats/Mspline.cpp: In constructor ‘BOOM::Mspline::Mspline(const BOOM::Vector&, int)’:
stats/Mspline.cpp:31:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
31 | for (int i = 1; i < sorted_knots.size() - 1; ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
stats/Mspline.cpp: In member function ‘virtual BOOM::Vector BOOM::Mspline::basis(double) const’:
stats/Mspline.cpp:46:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
stats/Mspline.cpp: In member function ‘virtual BOOM::Vector BOOM::Ispline::basis(double) const’:
stats/Mspline.cpp:104:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
104 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/NaturalSpline.cpp -o stats/NaturalSpline.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/Resampler.cpp -o stats/Resampler.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/Spline.cpp -o stats/Spline.o
stats/Spline.cpp: In member function ‘BOOM::Matrix BOOM::SplineBase::basis_matrix(const BOOM::Vector&) const’:
stats/Spline.cpp:33:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
33 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
stats/Spline.cpp: In member function ‘virtual double BOOM::SplineBase::knot(int) const’:
stats/Spline.cpp:63:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
63 | } else if (i >= knots_.size()) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/acf.cpp -o stats/acf.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/compare_binomial_proportions.cpp -o stats/compare_binomial_proportions.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/compare_predictions.cpp -o stats/compare_predictions.o
In file included from ../inst/include/Models/GammaModel.hpp:29,
from ../inst/include/Models/Glm/PosteriorSamplers/RegressionConjSampler.hpp:23,
from stats/compare_predictions.cpp:22:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::RegSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:145:5: required from ‘void BOOM::SufstatDataPolicy<D, S>::set_data(const DatasetType&) [with D = BOOM::GlmData<BOOM::UnivData<double> >; S = BOOM::RegSuf; DatasetType = std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >]’
145 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:143:8: required from here
143 | void SufstatDataPolicy<D, S>::set_data(const DatasetType &d) {
| ^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/diff.cpp -o stats/diff.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/hexbin.cpp -o stats/hexbin.o
stats/hexbin.cpp: In function ‘int BOOM::{anonymous}::find_upper_bound(int, const BOOM::Vector&)’:
stats/hexbin.cpp:90:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
90 | if (index + 1 == axis.size()) {
| ~~~~~~~~~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/logit.cpp -o stats/logit.o
stats/logit.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::multinomial_logit_impl(const VECTOR&) [with VECTOR = BOOM::Vector]’:
stats/logit.cpp:57:34: required from here
57 | return multinomial_logit_impl(distribution);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stats/logit.cpp:32:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
32 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
stats/logit.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::multinomial_logit_impl(const VECTOR&) [with VECTOR = BOOM::VectorView]’:
stats/logit.cpp:60:34: required from here
60 | return multinomial_logit_impl(distribution);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stats/logit.cpp:32:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
32 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
stats/logit.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::multinomial_logit_impl(const VECTOR&) [with VECTOR = BOOM::ConstVectorView]’:
stats/logit.cpp:63:34: required from here
63 | return multinomial_logit_impl(distribution);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stats/logit.cpp:32:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
32 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
stats/logit.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::multinomial_logit_inverse_impl(const VECTOR&) [with VECTOR = BOOM::Vector]’:
stats/logit.cpp:67:42: required from here
67 | return multinomial_logit_inverse_impl(logits);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stats/logit.cpp:43:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
43 | for (int i = 0; i < logits.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/moments.cpp -o stats/moments.o
stats/moments.cpp: In function ‘double BOOM::cor(const std::vector<double>&, const std::vector<double>&)’:
stats/moments.cpp:97:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
97 | if (y.size() != n) {
| ~~~~~~~~~^~~~
stats/moments.cpp: In function ‘double BOOM::mean(const std::vector<double>&, double)’:
stats/moments.cpp:132:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
132 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
stats/moments.cpp: In function ‘double BOOM::var(const std::vector<double>&, double)’:
stats/moments.cpp:147:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
147 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
stats/moments.cpp: In function ‘double BOOM::mean(const std::vector<double>&, const std::vector<bool>&)’:
stats/moments.cpp:172:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
172 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
stats/moments.cpp: In function ‘double BOOM::var(const std::vector<double>&, const std::vector<bool>&)’:
stats/moments.cpp:194:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
194 | for (int i = 0; i < x.size(); ++i) {
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/quantile.cpp -o stats/quantile.o
stats/quantile.cpp: In function ‘BOOM::Vector BOOM::quantile(const ConstVectorView&, const Vector&)’:
stats/quantile.cpp:34:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
34 | for (int i = 0; i < target_quantiles.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/regression.cpp -o stats/regression.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/simple_random_sample.cpp -o stats/simple_random_sample.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats/summary.cpp -o stats/summary.o
stats/summary.cpp: In member function ‘void BOOM::NumericSummary::summarize(const BOOM::Vector&)’:
stats/summary.cpp:86:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
86 | if (new_size < non_nan.size()) {
| ~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/AggregatedStateSpaceRegression.cpp -o Models/StateSpace/AggregatedStateSpaceRegression.o
In file included from ../inst/include/Models/StateSpace/Filters/SparseKalmanTools.hpp:25,
from ../inst/include/Models/StateSpace/AggregatedStateSpaceRegression.hpp:22,
from Models/StateSpace/AggregatedStateSpaceRegression.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceRegressionModel.hpp:33,
from ../inst/include/Models/StateSpace/AggregatedStateSpaceRegression.hpp:27:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/StateSpace/AggregatedStateSpaceRegression.cpp: In copy constructor ‘BOOM::AggregatedStateSpaceRegression::AggregatedStateSpaceRegression(const BOOM::{anonymous}::ASSR&)’:
Models/StateSpace/AggregatedStateSpaceRegression.cpp:417:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::FineNowcastingData>, std::allocator<BOOM::Ptr<BOOM::FineNowcastingData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
417 | for (int i = 0; i < data.size(); ++i) add_data(data[i]);
| ~~^~~~~~~~~~~~~
Models/StateSpace/AggregatedStateSpaceRegression.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::Multiply(const BOOM::SparseKalmanMatrix*, const BOOM::SparseVector&, bool, double, const VEC&) [with VEC = BOOM::Vector]’:
Models/StateSpace/AggregatedStateSpaceRegression.cpp:179:20: required from here
179 | return Multiply(transition_matrix_, observation_vector_, contains_end_,
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
180 | fraction_in_initial_period_, v);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/AggregatedStateSpaceRegression.cpp:152:20: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
152 | if (v.size() != state_dim + 2 || Z.size() != state_dim) {
| ~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/AggregatedStateSpaceRegression.cpp: In instantiation of ‘BOOM::Vector BOOM::RQR_Multiply(const VECTOR&, const SparseKalmanMatrix&, const SparseVector&, double) [with VECTOR = Vector]’:
Models/StateSpace/AggregatedStateSpaceRegression.cpp:329:24: required from here
329 | return RQR_Multiply(v, *state_variance_matrix_, observation_vector_,
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | observation_variance_);
| ~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/AggregatedStateSpaceRegression.cpp:311:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
311 | if (v.size() != state_dim + 2) {
| ~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/DynamicInterceptRegression.cpp -o Models/StateSpace/DynamicInterceptRegression.o
In file included from ../inst/include/Models/StateSpace/DynamicInterceptRegression.hpp:25,
from Models/StateSpace/DynamicInterceptRegression.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/DynamicInterceptRegression.hpp:27:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp: In constructor ‘BOOM::StateSpace::TimeSeriesRegressionData::TimeSeriesRegressionData(const BOOM::Vector&, const BOOM::Matrix&, const BOOM::Selector&)’:
Models/StateSpace/DynamicInterceptRegression.cpp:39:28: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
39 | if (response_.size() != predictors_.nrow()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp:43:28: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
43 | if (response_.size() != observed.nvars_possible()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp:47:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | for (int i = 0; i < response_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp: In member function ‘BOOM::Vector BOOM::DynamicInterceptRegressionModel::simulate_forecast(BOOM::RNG&, const BOOM::Matrix&, const BOOM::Vector&, const std::vector<int>&)’:
Models/StateSpace/DynamicInterceptRegression.cpp:212:35: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
212 | if (nrow(forecast_predictors) != timestamps.size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp:215:28: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
215 | if (final_state.size() != state_dimension()) {
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp:231:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
231 | while(index < timestamps.size() && time < timestamps[index]) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp:233:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
233 | while (index < timestamps.size() && time == timestamps[index]) {
| ~~~~~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicInterceptRegression.cpp: In member function ‘virtual BOOM::Vector BOOM::DynamicInterceptRegressionModel::simulate_fake_observation(BOOM::RNG&, int)’:
Models/StateSpace/DynamicInterceptRegression.cpp:257:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
257 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/Filters/ConditionalIidKalmanFilter.hpp:22,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:28,
from ../inst/include/Models/StateSpace/DynamicInterceptRegression.hpp:29:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionalIidMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionalIidMarginalDistribution, std::allocator<BOOM::Kalman::ConditionalIidMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionallyIndependentMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionallyIndependentMarginalDistribution, std::allocator<BOOM::Kalman::ConditionallyIndependentMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/DynamicRegression.cpp -o Models/StateSpace/DynamicRegression.o
In file included from ../inst/include/Models/StateSpace/DynamicRegression.hpp:28,
from Models/StateSpace/DynamicRegression.cpp:19:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/DynamicRegression.hpp: In member function ‘int BOOM::TimeSeriesRegressionDataPolicy::sample_size() const’:
../inst/include/Models/StateSpace/DynamicRegression.hpp:368:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::RegressionDataTimePoint>, std::allocator<BOOM::Ptr<BOOM::StateSpace::RegressionDataTimePoint> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In copy constructor ‘BOOM::StateSpace::RegressionDataTimePoint::RegressionDataTimePoint(const BOOM::StateSpace::RegressionDataTimePoint&)’:
Models/StateSpace/DynamicRegression.cpp:38:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
38 | for (int i = 0; i < rhs.raw_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In constructor ‘BOOM::StateSpace::RegressionDataTimePoint::RegressionDataTimePoint(const BOOM::Matrix&, const BOOM::Vector&)’:
Models/StateSpace/DynamicRegression.cpp:46:19: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | if (nrow(X) != y.size()) {
| ~~~~~~~~^~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘virtual std::ostream& BOOM::StateSpace::RegressionDataTimePoint::display(std::ostream&) const’:
Models/StateSpace/DynamicRegression.cpp:64:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
64 | for (int i = 0; i < raw_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘void BOOM::StateSpace::RegressionDataTimePoint::add_data(const BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > >&)’:
Models/StateSpace/DynamicRegression.cpp:87:30: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
87 | if (raw_data_.size() >= dp->xdim()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘BOOM::Vector BOOM::StateSpace::ProductSelectorMatrix::operator*(const BOOM::ConstVectorView&) const’:
Models/StateSpace/DynamicRegression.cpp:171:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
171 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘void BOOM::StateSpace::DynamicRegressionKalmanFilter::ensure_storage(int)’:
Models/StateSpace/DynamicRegression.cpp:390:25: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::StateSpace::DynamicRegressionKalmanFilterNode>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
390 | if (nodes_.size() < number_of_time_points) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘void BOOM::TimeSeriesRegressionDataPolicy::add_data(const BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > >&, int)’:
Models/StateSpace/DynamicRegression.cpp:436:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::RegressionDataTimePoint>, std::allocator<BOOM::Ptr<BOOM::StateSpace::RegressionDataTimePoint> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
436 | while (time >= data_.size()) {
| ~~~~~^~~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In copy constructor ‘BOOM::DynamicRegressionModel::DynamicRegressionModel(const BOOM::{anonymous}::DRM&)’:
Models/StateSpace/DynamicRegression.cpp:499:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmCoefs> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
499 | for (int i = 0; i < rhs.coefficients_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘void BOOM::DynamicRegressionModel::set_initial_state_mean(const BOOM::Vector&)’:
Models/StateSpace/DynamicRegression.cpp:514:21: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
514 | if (mean.size() != xdim()) {
| ~~~~~~~~~~~~^~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘virtual void BOOM::DynamicRegressionModel::ensure_time_dimension()’:
Models/StateSpace/DynamicRegression.cpp:533:33: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::GlmCoefs> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
533 | while (coefficients_.size() < time_dimension()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/DynamicRegression.cpp: In member function ‘void BOOM::DynamicRegressionModel::refresh_innovation_variances() const’:
Models/StateSpace/DynamicRegression.cpp:544:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroMeanGaussianModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
544 | for (int i = 0; i < innovation_error_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/MultiplexedData.cpp -o Models/StateSpace/MultiplexedData.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModelVector.cpp -o Models/StateSpace/StateModelVector.o
In file included from ../inst/include/Models/StateSpace/StateModelVector.hpp:29,
from Models/StateSpace/StateModelVector.cpp:19:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpaceLogitModel.cpp -o Models/StateSpace/StateSpaceLogitModel.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceNormalMixture.hpp:24,
from ../inst/include/Models/StateSpace/StateSpaceLogitModel.hpp:27,
from Models/StateSpace/StateSpaceLogitModel.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In constructor ‘BOOM::StateSpace::AugmentedBinomialRegressionData::AugmentedBinomialRegressionData(const std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >&)’:
Models/StateSpace/StateSpaceLogitModel.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (int i = 0; i < binomial_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘virtual std::ostream& BOOM::StateSpace::AugmentedBinomialRegressionData::display(std::ostream&) const’:
Models/StateSpace/StateSpaceLogitModel.cpp:56:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
56 | for (int i = 0; i < binomial_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedBinomialRegressionData::adjusted_observation(const BOOM::GlmCoefs&) const’:
Models/StateSpace/StateSpaceLogitModel.cpp:98:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
98 | for (int i = 0; i < binomial_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedBinomialRegressionData::latent_data_overall_variance() const’:
Models/StateSpace/StateSpaceLogitModel.cpp:127:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
127 | for (int i = 0; i < binomial_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedBinomialRegressionData::total_trials() const’:
Models/StateSpace/StateSpaceLogitModel.cpp:142:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
142 | for (int i = 0; i < binomial_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedBinomialRegressionData::total_successes() const’:
Models/StateSpace/StateSpaceLogitModel.cpp:150:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::BinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::BinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
150 | for (int i = 0; i < binomial_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In constructor ‘BOOM::StateSpaceLogitModel::StateSpaceLogitModel(const BOOM::Vector&, const BOOM::Vector&, const BOOM::Matrix&, const std::vector<bool>&)’:
Models/StateSpace/StateSpaceLogitModel.cpp:169:26: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
169 | successes.size() != nrow(design_matrix) ||
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp:175:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
175 | for (int i = 0; i < successes.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpaceLogitModel::simulate_multiplex_forecast(BOOM::RNG&, const BOOM::Matrix&, const BOOM::Vector&, const BOOM::Vector&, const std::vector<int>&)’:
Models/StateSpace/StateSpaceLogitModel.cpp:240:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
240 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpaceLogitModel::one_step_holdout_prediction_errors(BOOM::RNG&, BOOM::BinomialLogitDataImputer&, const BOOM::Vector&, const BOOM::Vector&, const BOOM::Matrix&, const BOOM::Vector&)’:
Models/StateSpace/StateSpaceLogitModel.cpp:280:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
280 | if (nrow(predictors) != successes.size() ||
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp:303:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
303 | for (int t = 0; t < ans.size(); ++t) {
| ~~^~~~~~~~~~~~
Models/StateSpace/StateSpaceLogitModel.cpp: In member function ‘virtual BOOM::Matrix BOOM::StateSpaceLogitModel::simulate_holdout_prediction_errors(int, int, bool)’:
Models/StateSpace/StateSpaceLogitModel.cpp:352:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedBinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedBinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
352 | for (int i = 0; i < holdout_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpaceModel.cpp -o Models/StateSpace/StateSpaceModel.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceModel.hpp:28,
from Models/StateSpace/StateSpaceModel.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModel.cpp: In member function ‘virtual std::ostream& BOOM::StateSpace::MultiplexedDoubleData::display(std::ostream&) const’:
Models/StateSpace/StateSpaceModel.cpp:39:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
39 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModel.cpp: In member function ‘double BOOM::StateSpace::MultiplexedDoubleData::adjusted_observation() const’:
Models/StateSpace/StateSpaceModel.cpp:56:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
56 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModel.cpp: In member function ‘bool BOOM::StateSpace::MultiplexedDoubleData::all_missing() const’:
Models/StateSpace/StateSpaceModel.cpp:72:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> >, std::allocator<BOOM::Ptr<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
72 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModel.cpp: In constructor ‘BOOM::StateSpaceModel::StateSpaceModel(const BOOM::Vector&, const std::vector<bool>&)’:
Models/StateSpace/StateSpaceModel.cpp:93:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
93 | for (int i = 0; i < y.size(); ++i) {
| ~~^~~~~~~~~~
Models/StateSpace/StateSpaceModel.cpp: In member function ‘virtual double BOOM::StateSpaceModel::observation_variance(int) const’:
Models/StateSpace/StateSpaceModel.cpp:120:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::MultiplexedDoubleData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::MultiplexedDoubleData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
120 | if (t >= dat().size()) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpaceModel::one_step_holdout_prediction_errors(const BOOM::Vector&, const BOOM::Vector&, bool) const’:
Models/StateSpace/StateSpaceModel.cpp:219:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
219 | for (int t = 0; t < ans.size(); ++t) {
| ~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpaceModelBase.cpp -o Models/StateSpace/StateSpaceModelBase.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from Models/StateSpace/StateSpaceModelBase.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModelBase.cpp: In member function ‘void BOOM::StateSpaceModelBase::signal_complete_data_change(int)’:
Models/StateSpace/StateSpaceModelBase.cpp:265:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::StateSpace::SufstatManager>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
265 | for (int i = 0; i < data_observers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModelBase.cpp: In member function ‘void BOOM::StateSpaceModelBase::signal_complete_data_reset()’:
Models/StateSpace/StateSpaceModelBase.cpp:636:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::StateSpace::SufstatManager>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
636 | for (int i = 0; i < data_observers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModelBase.cpp: In function ‘std::vector<BOOM::Matrix> BOOM::StateSpaceUtils::compute_prediction_errors(const BOOM::ScalarStateSpaceModelBase&, int, const std::vector<int>&, bool)’:
Models/StateSpace/StateSpaceModelBase.cpp:938:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
938 | for (int i = 0; i < cutpoints.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceModelBase.cpp:947:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::future<void> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
947 | for (int i = 0; i < futures.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpaceNormalMixture.cpp -o Models/StateSpace/StateSpaceNormalMixture.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceNormalMixture.hpp:24,
from Models/StateSpace/StateSpaceNormalMixture.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceNormalMixture.cpp: In member function ‘virtual BOOM::Vector BOOM::StateSpaceNormalMixture::regression_contribution() const’:
Models/StateSpace/StateSpaceNormalMixture.cpp:32:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
32 | for (int time = 0; time < ans.size(); ++time) {
| ~~~~~^~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpacePoissonModel.cpp -o Models/StateSpace/StateSpacePoissonModel.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceNormalMixture.hpp:24,
from ../inst/include/Models/StateSpace/StateSpacePoissonModel.hpp:27,
from Models/StateSpace/StateSpacePoissonModel.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In constructor ‘BOOM::StateSpace::AugmentedPoissonRegressionData::AugmentedPoissonRegressionData(const std::vector<BOOM::Ptr<BOOM::PoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::PoissonRegressionData> > >&)’:
Models/StateSpace/StateSpacePoissonModel.cpp:47:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::PoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
47 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In member function ‘virtual std::ostream& BOOM::StateSpace::AugmentedPoissonRegressionData::display(std::ostream&) const’:
Models/StateSpace/StateSpacePoissonModel.cpp:55:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::PoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::PoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
55 | for (int i = 0; i < poisson_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedPoissonRegressionData::adjusted_observation(const BOOM::GlmCoefs&) const’:
Models/StateSpace/StateSpacePoissonModel.cpp:94:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
94 | for (int i = 0; i < latent_continuous_values_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In constructor ‘BOOM::StateSpacePoissonModel::StateSpacePoissonModel(const BOOM::Vector&, const BOOM::Vector&, const BOOM::Matrix&, const std::vector<bool>&)’:
Models/StateSpace/StateSpacePoissonModel.cpp:159:23: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
159 | counts.size() != nrow(design_matrix) ||
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp:165:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
165 | for (int i = 0; i < counts.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpacePoissonModel::simulate_multiplex_forecast(BOOM::RNG&, const BOOM::Matrix&, const BOOM::Vector&, const BOOM::Vector&, const std::vector<int>&)’:
Models/StateSpace/StateSpacePoissonModel.cpp:234:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
234 | for (int i = 0; i < ans.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpacePoissonModel::one_step_holdout_prediction_errors(BOOM::RNG&, BOOM::PoissonDataImputer&, const BOOM::Vector&, const BOOM::Vector&, const BOOM::Matrix&, const BOOM::Vector&)’:
Models/StateSpace/StateSpacePoissonModel.cpp:271:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
271 | if (nrow(predictors) != counts.size() || exposure.size() != counts.size()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp:290:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
290 | for (int t = 0; t < ans.size(); ++t) {
| ~~^~~~~~~~~~~~
Models/StateSpace/StateSpacePoissonModel.cpp: In member function ‘virtual BOOM::Matrix BOOM::StateSpacePoissonModel::simulate_holdout_prediction_errors(int, int, bool)’:
Models/StateSpace/StateSpacePoissonModel.cpp:365:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedPoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedPoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
365 | for (int i = 0; i < holdout_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpaceRegressionModel.cpp -o Models/StateSpace/StateSpaceRegressionModel.o
In file included from ../inst/include/Models/StateSpace/StateSpaceRegressionModel.hpp:30,
from Models/StateSpace/StateSpaceRegressionModel.cpp:19:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceRegressionModel.hpp:33:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceRegressionModel.cpp: In member function ‘virtual std::ostream& BOOM::StateSpace::MultiplexedRegressionData::display(std::ostream&) const’:
Models/StateSpace/StateSpaceRegressionModel.cpp:52:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
52 | for (int i = 0; i < regression_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceRegressionModel.cpp: In member function ‘double BOOM::StateSpace::MultiplexedRegressionData::adjusted_observation(const BOOM::GlmCoefs&) const’:
Models/StateSpace/StateSpaceRegressionModel.cpp:70:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
70 | for (int i = 0; i < regression_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceRegressionModel.cpp: In member function ‘virtual double BOOM::StateSpaceRegressionModel::observation_variance(int) const’:
Models/StateSpace/StateSpaceRegressionModel.cpp:170:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::MultiplexedRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::MultiplexedRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
170 | if (t >= data.size()) {
| ~~^~~~~~~~~~~~~~
Models/StateSpace/StateSpaceRegressionModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpaceRegressionModel::one_step_holdout_prediction_errors(const BOOM::Matrix&, const BOOM::Vector&, const BOOM::Vector&, bool) const’:
Models/StateSpace/StateSpaceRegressionModel.cpp:295:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
295 | for (int t = 0; t < ans.size(); ++t) {
| ~~^~~~~~~~~~~~
Models/StateSpace/StateSpaceRegressionModel.cpp: In member function ‘virtual BOOM::Matrix BOOM::StateSpaceRegressionModel::simulate_holdout_prediction_errors(int, int, bool)’:
Models/StateSpace/StateSpaceRegressionModel.cpp:323:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::MultiplexedRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::MultiplexedRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
323 | for (int i = 0; i < holdout_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceRegressionModel.cpp: In member function ‘virtual BOOM::Vector BOOM::StateSpaceRegressionModel::regression_contribution() const’:
Models/StateSpace/StateSpaceRegressionModel.cpp:348:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::MultiplexedRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::MultiplexedRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
348 | for (int time = 0; time < data.size(); ++time) {
| ~~~~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateSpaceStudentRegressionModel.cpp -o Models/StateSpace/StateSpaceStudentRegressionModel.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceNormalMixture.hpp:24,
from ../inst/include/Models/StateSpace/StateSpaceStudentRegressionModel.hpp:26,
from Models/StateSpace/StateSpaceStudentRegressionModel.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In constructor ‘BOOM::StateSpace::AugmentedStudentRegressionData::AugmentedStudentRegressionData(const std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >&)’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
44 | for (int i = 0; i < data.size(); ++i) {
| ~~^~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In member function ‘virtual std::ostream& BOOM::StateSpace::AugmentedStudentRegressionData::display(std::ostream&) const’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:57:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
57 | for (int i = 0; i < regression_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedStudentRegressionData::adjusted_observation(const BOOM::GlmCoefs&) const’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:81:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
81 | for (int i = 0; i < regression_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In member function ‘double BOOM::StateSpace::AugmentedStudentRegressionData::sum_of_weights() const’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:99:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
99 | for (int i = 0; i < regression_data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In constructor ‘BOOM::StateSpaceStudentRegressionModel::StateSpaceStudentRegressionModel(const BOOM::Vector&, const BOOM::Matrix&, const std::vector<bool>&)’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:140:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
140 | for (int i = 0; i < response.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In member function ‘int BOOM::StateSpaceStudentRegressionModel::total_sample_size() const’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:165:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedStudentRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedStudentRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
165 | for (int i = 0; i < dat().size(); ++i) {
| ~~^~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In member function ‘BOOM::Vector BOOM::StateSpaceStudentRegressionModel::one_step_holdout_prediction_errors(BOOM::RNG&, const BOOM::Vector&, const BOOM::Matrix&, const BOOM::Vector&, bool)’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:260:26: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
260 | if (nrow(predictors) != response.size()) {
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:274:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
274 | for (int t = 0; t < ans.size(); ++t) {
| ~~^~~~~~~~~~~~
Models/StateSpace/StateSpaceStudentRegressionModel.cpp: In member function ‘virtual BOOM::Matrix BOOM::StateSpaceStudentRegressionModel::simulate_holdout_prediction_errors(int, int, bool)’:
Models/StateSpace/StateSpaceStudentRegressionModel.cpp:327:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedStudentRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedStudentRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
327 | for (int i = 0; i < holdout_data.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/ConditionalIidKalmanFilter.cpp -o Models/StateSpace/Filters/ConditionalIidKalmanFilter.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:25,
from Models/StateSpace/Filters/ConditionalIidKalmanFilter.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/Filters/ConditionalIidKalmanFilter.hpp:22,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:28:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionallyIndependentMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionallyIndependentMarginalDistribution, std::allocator<BOOM::Kalman::ConditionallyIndependentMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/ConditionallyIndependentKalmanFilter.cpp -o Models/StateSpace/Filters/ConditionallyIndependentKalmanFilter.o
In file included from ../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:25,
from ../inst/include/Models/StateSpace/Filters/ConditionallyIndependentKalmanFilter.hpp:21,
from Models/StateSpace/Filters/ConditionallyIndependentKalmanFilter.cpp:19:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:25,
from Models/StateSpace/Filters/ConditionallyIndependentKalmanFilter.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionallyIndependentMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionallyIndependentMarginalDistribution, std::allocator<BOOM::Kalman::ConditionallyIndependentMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/KalmanFilterBase.cpp -o Models/StateSpace/Filters/KalmanFilterBase.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from Models/StateSpace/Filters/KalmanFilterBase.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/KalmanTools.cpp -o Models/StateSpace/Filters/KalmanTools.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/MultivariateKalmanFilterBase.cpp -o Models/StateSpace/Filters/MultivariateKalmanFilterBase.o
In file included from ../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:25,
from Models/StateSpace/Filters/MultivariateKalmanFilterBase.cpp:19:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:25,
from Models/StateSpace/Filters/MultivariateKalmanFilterBase.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionallyIndependentMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionallyIndependentMarginalDistribution, std::allocator<BOOM::Kalman::ConditionallyIndependentMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/ScalarKalmanFilter.cpp -o Models/StateSpace/Filters/ScalarKalmanFilter.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from Models/StateSpace/Filters/ScalarKalmanFilter.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/ScalarKalmanFilter.cpp: In member function ‘virtual void BOOM::ScalarKalmanFilter::update()’:
Models/StateSpace/Filters/ScalarKalmanFilter.cpp:136:26: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ScalarMarginalDistribution>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
136 | while (nodes_.size() <= model_->time_dimension()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/ScalarKalmanFilter.cpp: In member function ‘void BOOM::ScalarKalmanFilter::update(double, int, bool)’:
Models/StateSpace/Filters/ScalarKalmanFilter.cpp:203:26: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ScalarMarginalDistribution>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
203 | while (nodes_.size() <= t) {
| ~~~~~~~~~~~~~~^~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/SparseKalmanTools.cpp -o Models/StateSpace/Filters/SparseKalmanTools.o
In file included from ../inst/include/Models/StateSpace/Filters/SparseKalmanTools.hpp:25,
from Models/StateSpace/Filters/SparseKalmanTools.cpp:21:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/SparseMatrix.cpp -o Models/StateSpace/Filters/SparseMatrix.o
In file included from Models/StateSpace/Filters/SparseMatrix.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘BOOM::Ptr<BOOM::SparseMatrixProduct> BOOM::SparseMatrixProduct::sparse_sandwich(const BOOM::SpdMatrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:145:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
145 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘BOOM::Ptr<BOOM::SparseMatrixProduct> BOOM::SparseMatrixProduct::sparse_sandwich_transpose(const BOOM::SpdMatrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:155:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
155 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::SparseMatrixProduct::inner() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:178:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
178 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::SparseMatrixProduct::inner(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:192:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
192 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Vector BOOM::SparseMatrixSum::operator*(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:265:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
265 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Matrix BOOM::SparseMatrixSum::operator*(const BOOM::Matrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:281:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
281 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Vector BOOM::SparseMatrixSum::Tmult(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:289:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
289 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Matrix BOOM::SparseMatrixSum::Tmult(const BOOM::Matrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:297:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
297 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Matrix& BOOM::SparseMatrixSum::add_to(BOOM::Matrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:312:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseKalmanMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
312 | for (int i = 0; i < terms_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In copy constructor ‘BOOM::BlockDiagonalMatrixBlock::BlockDiagonalMatrixBlock(const BOOM::BlockDiagonalMatrixBlock&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:650:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
650 | for (int i = 0; i < rhs.blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘BOOM::BlockDiagonalMatrixBlock& BOOM::BlockDiagonalMatrixBlock::operator=(const BOOM::BlockDiagonalMatrixBlock&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:663:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
663 | for (int i = 0; i < rhs.blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:687:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
687 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:700:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
700 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::Tmult(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:713:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
713 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::multiply_inplace(BOOM::VectorView) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:725:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
725 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::matrix_multiply_inplace(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:736:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
736 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::matrix_transpose_premultiply_inplace(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:751:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
751 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::BlockDiagonalMatrixBlock::inner() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:765:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
765 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::BlockDiagonalMatrixBlock::inner(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:778:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
778 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrixBlock::add_to_block(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:793:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
793 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In copy constructor ‘BOOM::StackedMatrixBlock::StackedMatrixBlock(const BOOM::StackedMatrixBlock&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:805:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
805 | for (int b = 0; b < rhs.blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘BOOM::StackedMatrixBlock& BOOM::StackedMatrixBlock::operator=(const BOOM::StackedMatrixBlock&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:816:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
816 | for (int b = 0; b < rhs.blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::StackedMatrixBlock::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:849:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
849 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::StackedMatrixBlock::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:862:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
862 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::StackedMatrixBlock::Tmult(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:877:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
877 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::StackedMatrixBlock::inner() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:892:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
892 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::StackedMatrixBlock::inner(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:904:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
904 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::StackedMatrixBlock::add_to_block(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:917:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
917 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Matrix BOOM::StackedMatrixBlock::dense() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:928:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
928 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘void BOOM::DiagonalMatrixParamView::ensure_current() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1025:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1025 | for (int i = 0; i < diagonal_elements_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::SparseDiagonalMatrixBlockParamView::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1060:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1060 | for (int i = 0; i < positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::SparseDiagonalMatrixBlockParamView::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1070:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1070 | for (int i = 0; i < positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::SparseDiagonalMatrixBlockParamView::multiply_inplace(BOOM::VectorView) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1083:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1083 | for (int i = 0; i < positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::SparseDiagonalMatrixBlockParamView::inner() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1097:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1097 | for (int i = 0; i < positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::SparseDiagonalMatrixBlockParamView::inner(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1109:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1109 | for (int i = 0; i < positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::SparseDiagonalMatrixBlockParamView::add_to_block(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1119:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1119 | for (int i = 0; i < positions_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::StackedRegressionCoefficients::Tmult(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:1660:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1660 | for (size_t i = 0; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:1662:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1662 | for (size_t j = 0; j < rhs.size(); ++j) {
| ~~^~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In function ‘void BOOM::block_multiply_view(VectorView, const ConstVectorView&, int, int, const std::vector<Ptr<SparseMatrixBlock> >&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:1919:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1919 | for (int b = 0; b < blocks.size(); ++b) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In function ‘void BOOM::block_multiply_and_add(VectorView, const ConstVectorView&, int, int, const std::vector<Ptr<SparseMatrixBlock> >&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:1953:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1953 | for (int b = 0; b < blocks.size(); ++b) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In function ‘void BOOM::block_transpose_multiply_view(VectorView, const ConstVectorView&, int, int, const std::vector<Ptr<SparseMatrixBlock> >&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:1984:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1984 | for (int b = 0; b < blocks.size(); ++b) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In function ‘BOOM::SpdMatrix BOOM::{anonymous}::block_sandwich(const BOOM::SpdMatrix&, int, int, const std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >&, const std::vector<int>&, const std::vector<int>&)’:
Models/StateSpace/Filters/SparseMatrix.cpp:2088:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2088 | for (int i = 0; i < blocks.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2093:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2093 | for (int j = i; j < blocks.size(); ++j) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::BlockDiagonalMatrix::inner() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2134:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2134 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::BlockDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2150:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2150 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrix::sandwich_inplace(BOOM::SpdMatrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2169:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2169 | for (int i = 0; i < blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2175:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2175 | for (int i = 0; i < blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual void BOOM::BlockDiagonalMatrix::sandwich_inplace_submatrix(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2184:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2184 | for (int i = 0; i < blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2185:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2185 | for (int j = 0; j < blocks_.size(); ++j) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Matrix& BOOM::BlockDiagonalMatrix::add_to(BOOM::Matrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2224:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2224 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SubMatrix BOOM::BlockDiagonalMatrix::add_to_submatrix(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2232:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2232 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Vector BOOM::SparseVerticalStripMatrix::Tmult(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2283:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2283 | for (int i = 0; i < blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::SparseVerticalStripMatrix::inner() const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2295:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2295 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2299:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2299 | for (int b0 = 0; b0 < blocks_.size(); ++b0) {
| ~~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2304:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2304 | for (int b1 = b0; b1 < blocks_.size(); ++b1) {
| ~~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SpdMatrix BOOM::SparseVerticalStripMatrix::inner(const BOOM::ConstVectorView&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2322:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2322 | for (int b = 0; b < blocks_.size(); ++b) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2327:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2327 | for (int b0 = 0; b0 < blocks_.size(); ++b0) {
| ~~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2332:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2332 | for (int b1 = b0; b1 < blocks_.size(); ++b1) {
| ~~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::Matrix& BOOM::SparseVerticalStripMatrix::add_to(BOOM::Matrix&) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2347:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2347 | for (int i = 0; i < blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In member function ‘virtual BOOM::SubMatrix BOOM::SparseVerticalStripMatrix::add_to_submatrix(BOOM::SubMatrix) const’:
Models/StateSpace/Filters/SparseMatrix.cpp:2359:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2359 | for (int i = 0; i < blocks_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::block_multiply_impl(const std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >&, const VECTOR&) [with VECTOR = BOOM::Vector]’:
Models/StateSpace/Filters/SparseMatrix.cpp:2268:31: required from here
2268 | return block_multiply_impl(blocks_, v);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2246:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2246 | for (int i = 0; i < blocks.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::block_multiply_impl(const std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >&, const VECTOR&) [with VECTOR = BOOM::VectorView]’:
Models/StateSpace/Filters/SparseMatrix.cpp:2272:31: required from here
2272 | return block_multiply_impl(blocks_, v);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2246:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2246 | for (int i = 0; i < blocks.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp: In instantiation of ‘BOOM::Vector BOOM::{anonymous}::block_multiply_impl(const std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >&, const VECTOR&) [with VECTOR = BOOM::ConstVectorView]’:
Models/StateSpace/Filters/SparseMatrix.cpp:2276:31: required from here
2276 | return block_multiply_impl(blocks_, v);
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
Models/StateSpace/Filters/SparseMatrix.cpp:2246:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::SparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
2246 | for (int i = 0; i < blocks.size(); ++i) {
| ~~^~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/Filters/SparseVector.cpp -o Models/StateSpace/Filters/SparseVector.o
Models/StateSpace/Filters/SparseVector.cpp: In member function ‘void BOOM::SparseVector::add_this_to(BOOM::Vector&, double) const’:
Models/StateSpace/Filters/SparseVector.cpp:172:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare]
172 | if (x.size() != size_) {
| ~~~~~~~~~^~~~~~~~
Models/StateSpace/Filters/SparseVector.cpp: In instantiation of ‘double BOOM::do_dot(const VEC&, const std::map<int, double>&, int) [with VEC = Vector]’:
Models/StateSpace/Filters/SparseVector.cpp:124:18: required from here
124 | return do_dot(v, elements_, size_);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/Filters/SparseVector.cpp:109:18: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
109 | if (v.size() != size) {
| ~~~~~~~~~^~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/AggregatedStateSpacePosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/AggregatedStateSpacePosteriorSampler.o
In file included from ../inst/include/Models/StateSpace/Filters/SparseKalmanTools.hpp:25,
from ../inst/include/Models/StateSpace/AggregatedStateSpaceRegression.hpp:22,
from ../inst/include/Models/StateSpace/PosteriorSamplers/AggregatedStateSpacePosteriorSampler.hpp:23,
from Models/StateSpace/PosteriorSamplers/AggregatedStateSpacePosteriorSampler.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateSpaceRegressionModel.hpp:33,
from ../inst/include/Models/StateSpace/AggregatedStateSpaceRegression.hpp:27:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/DynamicRegressionArPosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/DynamicRegressionArPosteriorSampler.o
In file included from ../inst/include/Models/StateSpace/StateModels/DynamicRegressionArStateModel.hpp:26,
from ../inst/include/Models/StateSpace/PosteriorSamplers/DynamicRegressionArPosteriorSampler.hpp:23,
from Models/StateSpace/PosteriorSamplers/DynamicRegressionArPosteriorSampler.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/StateModels/DynamicRegressionArStateModel.hpp: In member function ‘virtual BOOM::SparseVector BOOM::DynamicRegressionArStateModel::observation_matrix(int) const’:
../inst/include/Models/StateSpace/StateModels/DynamicRegressionArStateModel.hpp:121:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GenericSparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
121 | if (t >= expanded_predictors_.size()) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/DynamicRegressionArPosteriorSampler.cpp: In constructor ‘BOOM::DynamicRegressionArPosteriorSampler::DynamicRegressionArPosteriorSampler(BOOM::DynamicRegressionArStateModel*, const std::vector<BOOM::Ptr<BOOM::GammaModelBase> >&, BOOM::RNG&)’:
Models/StateSpace/PosteriorSamplers/DynamicRegressionArPosteriorSampler.cpp:32:30: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
32 | if (siginv_priors.size() != model_->xdim()) {
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/DynamicRegressionDirectGibbs.cpp -o Models/StateSpace/PosteriorSamplers/DynamicRegressionDirectGibbs.o
In file included from ../inst/include/Models/StateSpace/DynamicRegression.hpp:28,
from ../inst/include/Models/StateSpace/PosteriorSamplers/DynamicRegressionDirectGibbs.hpp:22,
from Models/StateSpace/PosteriorSamplers/DynamicRegressionDirectGibbs.cpp:19:
../inst/include/Models/MarkovModel.hpp: In copy constructor ‘BOOM::TimeSeries<D>::TimeSeries(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:105:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
105 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/MarkovModel.hpp: In member function ‘BOOM::TimeSeries<D>& BOOM::TimeSeries<D>::operator=(const BOOM::TimeSeries<D>&) [with D = BOOM::MarkovData]’:
../inst/include/Models/MarkovModel.hpp:122:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
122 | for (size_t i = 0; i < rhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/DynamicRegression.hpp: In member function ‘int BOOM::TimeSeriesRegressionDataPolicy::sample_size() const’:
../inst/include/Models/StateSpace/DynamicRegression.hpp:368:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::RegressionDataTimePoint>, std::allocator<BOOM::Ptr<BOOM::StateSpace::RegressionDataTimePoint> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
368 | for (int i = 0; i < data_.size(); ++i) {
| ~~^~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.o
In file included from ../inst/include/Models/StateSpace/StateModels/DynamicRegressionStateModel.hpp:25,
from ../inst/include/Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.hpp:25,
from Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp: In constructor ‘BOOM::DynamicRegressionIndependentPosteriorSampler::DynamicRegressionIndependentPosteriorSampler(BOOM::DynamicRegressionStateModel*, const std::vector<BOOM::Ptr<BOOM::GammaModelBase> >&, BOOM::RNG&)’:
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp:41:24: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
41 | if (priors_.size() != model_->xdim()) {
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp:46:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GammaModelBase> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
46 | for (int i = 0; i < priors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp: In member function ‘virtual BOOM::{anonymous}::DRIPS* BOOM::DynamicRegressionIndependentPosteriorSampler::clone_to_new_host(BOOM::Model*) const’:
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp:60:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GenericGaussianVarianceSampler>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
60 | for (int i = 0; i < samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp: In member function ‘virtual void BOOM::DynamicRegressionIndependentPosteriorSampler::draw()’:
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp:67:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GenericGaussianVarianceSampler>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
67 | for (int i = 0; i < samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp: In member function ‘virtual double BOOM::DynamicRegressionIndependentPosteriorSampler::logpri() const’:
Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp:76:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::GenericGaussianVarianceSampler>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
76 | for (int i = 0; i < samplers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp:23,
from ../inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp:23,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.hpp:24,
from Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.hpp:23,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.hpp:25:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.cpp: In member function ‘virtual void BOOM::StateSpaceLogitPosteriorSampler::impute_nonstate_latent_data()’:
Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.cpp:84:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedBinomialRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedBinomialRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
84 | for (int t = 0; t < data.size(); ++t) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.o
In file included from ../inst/include/Models/PosteriorSamplers/Imputer.hpp:31,
from ../inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.hpp:30,
from ../inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.hpp:24,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.hpp:24,
from Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.cpp:19:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/PosteriorSamplers/Imputer.hpp: In member function ‘int BOOM::ParallelLatentDataImputer::number_of_observations_managed() const’:
../inst/include/Models/PosteriorSamplers/Imputer.hpp:218:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LatentDataImputerWorker> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
218 | for (int i = 0; i < workers_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.hpp:23,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.hpp:25:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.cpp: In member function ‘virtual void BOOM::StateSpacePoissonPosteriorSampler::impute_nonstate_latent_data()’:
Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.cpp:81:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedPoissonRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedPoissonRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
81 | for (int t = 0; t < data.size(); ++t) {
| ~~^~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.hpp:23,
from Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.cpp:20:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.o
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.hpp:23,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.hpp:25,
from Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp:22:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:33:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp: In member function ‘virtual void BOOM::StateSpaceStudentPosteriorSampler::impute_nonstate_latent_data()’:
Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp:62:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::StateSpace::AugmentedStudentRegressionData>, std::allocator<BOOM::Ptr<BOOM::StateSpace::AugmentedStudentRegressionData> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
62 | for (int t = 0; t < data.size(); ++t) {
| ~~^~~~~~~~~~~~~
Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp: In member function ‘void BOOM::StateSpaceStudentPosteriorSampler::clear_complete_data_sufficient_statistics()’:
Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp:90:51: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Ptr<BOOM::GlmData<BOOM::UnivData<double> > > >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
90 | if (model_->observation_model()->dat().size() !=
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
91 | model_->total_sample_size()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.cpp -o Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.o
In file included from ../inst/include/Models/StateSpace/StateModels/StateModel.hpp:24,
from ../inst/include/Models/StateSpace/StateModels/StudentLocalLinearTrend.hpp:27,
from ../inst/include/Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.hpp:25,
from Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModels/ArStateModel.cpp -o Models/StateSpace/StateModels/ArStateModel.o
In file included from ../inst/include/Models/StateSpace/StateModels/StateModel.hpp:24,
from ../inst/include/Models/StateSpace/StateModels/ArStateModel.hpp:23,
from Models/StateSpace/StateModels/ArStateModel.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/ArStateModel.cpp: In member function ‘virtual BOOM::Vector BOOM::ArStateModel::initial_state_mean() const’:
Models/StateSpace/StateModels/ArStateModel.cpp:119:36: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
119 | if (initial_state_mean_.size() != state_dimension()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/ArStateModel.cpp: In member function ‘void BOOM::ArStateModel::set_initial_state_mean(const BOOM::Vector&)’:
Models/StateSpace/StateModels/ArStateModel.cpp:148:19: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
148 | if (mu.size() != state_dimension()) {
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/Glm/RegressionModel.hpp:33,
from ../inst/include/Models/TimeSeries/ArModel.hpp:24,
from ../inst/include/Models/StateSpace/StateModels/ArStateModel.hpp:24:
../inst/include/Models/Policies/SufstatDataPolicy.hpp: In instantiation of ‘void BOOM::SufstatDataPolicy<D, S>::refresh_suf() [with D = BOOM::UnivData<double>; S = BOOM::ArSuf]’:
../inst/include/Models/Policies/SufstatDataPolicy.hpp:110:5: required from ‘BOOM::SufstatDataPolicy<D, S>::SufstatDataPolicy(const BOOM::SufstatDataPolicy<D, S>&) [with D = BOOM::UnivData<double>; S = BOOM::ArSuf]’
110 | refresh_suf();
| ^~~~~~~~~~~
../inst/include/Models/TimeSeries/ArModel.hpp:85:9: required from here
85 | class ArModel : public GlmModel,
| ^~~~~~~
../inst/include/Models/Policies/SufstatDataPolicy.hpp:83:24: warning: comparison of integer expressions of different signedness: ‘BOOM::uint’ {aka ‘long int’} and ‘std::vector<BOOM::Ptr<BOOM::UnivData<double> > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
83 | for (uint i = 0; i < d.size(); ++i) suf_->update(d[i]);
| ~~^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp -o Models/StateSpace/StateModels/DynamicRegressionArStateModel.o
In file included from ../inst/include/Models/StateSpace/StateModels/DynamicRegressionArStateModel.hpp:26,
from Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/StateModels/DynamicRegressionArStateModel.hpp: In member function ‘virtual BOOM::SparseVector BOOM::DynamicRegressionArStateModel::observation_matrix(int) const’:
../inst/include/Models/StateSpace/StateModels/DynamicRegressionArStateModel.hpp:121:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GenericSparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
121 | if (t >= expanded_predictors_.size()) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp: In member function ‘BOOM::{anonymous}::DRASM& BOOM::DynamicRegressionArStateModel::operator=(const BOOM::{anonymous}::DRASM&)’:
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp:73:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::GenericSparseMatrixBlock> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
73 | for (int i = 0; i < rhs.expanded_predictors_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp: In member function ‘virtual void BOOM::DynamicRegressionArStateModel::clear_data()’:
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp:92:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ArModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
92 | for (int i = 0; i < coefficient_transition_model_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp: In member function ‘virtual void BOOM::DynamicRegressionArStateModel::simulate_state_error(BOOM::RNG&, BOOM::VectorView, int) const’:
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp:126:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ArModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
126 | for (int i = 0; i < coefficient_transition_model_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp: In member function ‘void BOOM::DynamicRegressionArStateModel::set_xnames(const std::vector<std::__cxx11::basic_string<char> >&)’:
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp:170:22: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
170 | if (names.size() != xdim()) {
| ~~~~~~~~~~~~~^~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp: In member function ‘void BOOM::DynamicRegressionArStateModel::add_to_predictors(const std::vector<BOOM::Matrix>&)’:
Models/StateSpace/StateModels/DynamicRegressionArStateModel.cpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
205 | for (int t = 0; t < predictors.size(); ++t) {
| ~~^~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp -o Models/StateSpace/StateModels/DynamicRegressionStateModel.o
In file included from ../inst/include/Models/StateSpace/StateModels/DynamicRegressionStateModel.hpp:25,
from Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:20:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/DynamicInterceptRegression.hpp:27,
from Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:21:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In constructor ‘BOOM::DynamicRegressionStateModel::DynamicRegressionStateModel(const std::vector<BOOM::Matrix>&)’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:54:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
54 | for (int i = 0; i < predictors.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In member function ‘void BOOM::DynamicRegressionStateModel::compute_predictor_variance()’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:67:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::DenseMatrix> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
67 | for (int i = 0; i < sparse_predictor_matrices_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In member function ‘int BOOM::DynamicRegressionStateModel::check_columns(const std::vector<BOOM::Matrix>&) const’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
90 | for (int i = 0; i < predictors.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In member function ‘void BOOM::DynamicRegressionStateModel::set_xnames(const std::vector<std::__cxx11::basic_string<char> >&)’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:149:23: warning: comparison of integer expressions of different signedness: ‘std::vector<std::__cxx11::basic_string<char> >::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
149 | if (xnames.size() != state_dimension()) {
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In member function ‘virtual void BOOM::DynamicRegressionStateModel::clear_data()’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:162:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroMeanGaussianModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
162 | for (int i = 0; i < coefficient_transition_model_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In member function ‘virtual void BOOM::DynamicRegressionStateModel::update_complete_data_sufficient_statistics(int, const BOOM::ConstVectorView&, const BOOM::ConstSubMatrix&)’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:184:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::ZeroMeanGaussianModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
184 | for (int s = 0; s < coefficient_transition_model_.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp: In member function ‘void BOOM::DynamicRegressionStateModel::add_multiplexed_forecast_data(const std::vector<BOOM::Matrix>&)’:
Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp:272:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Matrix>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
272 | for (int t = 0; t < predictors.size(); ++t) {
| ~~^~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/Filters/ConditionalIidKalmanFilter.hpp:22,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:28,
from ../inst/include/Models/StateSpace/DynamicInterceptRegression.hpp:29:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionallyIndependentMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionallyIndependentMarginalDistribution, std::allocator<BOOM::Kalman::ConditionallyIndependentMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp -o Models/StateSpace/StateModels/GeneralSeasonalStateModel.o
In file included from ../inst/include/Models/StateSpace/StateModels/StateModel.hpp:24,
from ../inst/include/Models/StateSpace/StateModels/GeneralSeasonalStateModel.hpp:21,
from Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:19:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In copy constructor ‘BOOM::GeneralSeasonalLLT::GeneralSeasonalLLT(const BOOM::{anonymous}::GSLLT&)’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:43:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
43 | for (int s = 0; s < subordinate_models_.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In member function ‘BOOM::{anonymous}::GSLLT& BOOM::GeneralSeasonalLLT::operator=(const BOOM::{anonymous}::GSLLT&)’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:71:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
71 | for (int i = 0; i < subordinate_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In member function ‘virtual void BOOM::GeneralSeasonalLLT::observe_state(const BOOM::ConstVectorView&, const BOOM::ConstVectorView&, int)’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:101:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
101 | for (int s = 0; s < subordinate_models_.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In member function ‘virtual void BOOM::GeneralSeasonalLLT::observe_initial_state(const BOOM::ConstVectorView&)’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:110:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
110 | for (int s = 0; s < subordinate_models_.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In member function ‘virtual void BOOM::GeneralSeasonalLLT::simulate_state_error(BOOM::RNG&, BOOM::VectorView, int) const’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:130:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
130 | for (int s = 0; s < subordinate_models_.size(); ++s) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In member function ‘void BOOM::GeneralSeasonalLLT::set_initial_state_mean(const BOOM::Vector&)’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:144:35: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
144 | if (initial_state_mean.size() != state_dimension()) {
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp: In member function ‘void BOOM::GeneralSeasonalLLT::build_state_matrices()’:
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:197:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
197 | for (int i = 0; i < subordinate_models_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/GeneralSeasonalStateModel.cpp:210:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::LocalLinearTrendStateModel> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
210 | for (int i = 0; i < subordinate_models_.size(); ++i ) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.cpp -o Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.o
In file included from ../inst/include/Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.hpp:28,
from Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.cpp:19:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::ZeroPaddedIdentityMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1269:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘BOOM::uint’ {aka ‘long int’} [-Wsign-compare]
1269 | for (size_t i = ncol_; i < lhs.size(); ++i) {
| ~~^~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1499:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1499 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_and_add(BOOM::VectorView, const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1508:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1508 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::multiply_inplace(BOOM::VectorView) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1517:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1517 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1525:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1525 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual BOOM::SpdMatrix BOOM::UpperLeftDiagonalMatrix::inner(const BOOM::ConstVectorView&) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1536:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1536 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘virtual void BOOM::UpperLeftDiagonalMatrix::add_to_block(BOOM::SubMatrix) const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1546:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1546 | for (int i = 0; i < diagonal_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘void BOOM::UpperLeftDiagonalMatrix::check_diagonal_dimension(int, const std::vector<BOOM::Ptr<BOOM::UnivParams> >&)’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:1558:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::UnivParams> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
1558 | if (dim < diagonal.size()) {
| ~~~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp: In member function ‘const BOOM::Vector& BOOM::DenseSparseRankOneMatrixBlock::dense_right() const’:
../inst/include/Models/StateSpace/Filters/SparseMatrix.hpp:2052:31: warning: comparison of integer expressions of different signedness: ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
2052 | if (dense_right_.size() != right_.size()) {
| ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/StateSpaceModelBase.hpp:23,
from ../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp:30,
from ../inst/include/Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.hpp:31:
../inst/include/cpputil/ThreadTools.hpp: In member function ‘int BOOM::ThreadWorkerPool::number_of_joinable_threads() const’:
../inst/include/cpputil/ThreadTools.hpp:215:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<std::thread>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
215 | for (int i = 0; i < threads_.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp: In member function ‘const BOOM::Holiday* BOOM::RegressionHolidayBaseImpl::holiday(int) const’:
../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp:69:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Ptr<BOOM::Holiday> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
69 | return (t >= 0 && t < holidays_.size()) ? holidays_[t].get() : nullptr;
| ~~^~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp: In member function ‘int BOOM::RegressionHolidayBaseImpl::which_holiday(int) const’:
../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp:111:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
111 | return (t >= 0 && t < which_holiday_.size()) ? which_holiday_[t] : -1;
| ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp: In member function ‘int BOOM::RegressionHolidayBaseImpl::which_day(int) const’:
../inst/include/Models/StateSpace/StateModels/RegressionHolidayStateModel.hpp:121:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<int>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
121 | return (t >= 0 && t < which_day_.size()) ? which_day_[t] : -1;
| ~~^~~~~~~~~~~~~~~~~~~
Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.cpp: In member function ‘virtual void BOOM::DynamicInterceptHierarchicalRegressionHolidayStateModel::observe_state(const BOOM::ConstVectorView&, const BOOM::ConstVectorView&, int)’:
Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.cpp:123:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<double>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
123 | for (int i = 0; i < residual.size(); ++i) {
| ~~^~~~~~~~~~~~~~~~~
In file included from ../inst/include/Models/StateSpace/Filters/ConditionalIidKalmanFilter.hpp:22,
from ../inst/include/Models/StateSpace/Multivariate/MultivariateStateSpaceModelBase.hpp:28,
from ../inst/include/Models/StateSpace/DynamicInterceptRegression.hpp:29,
from Models/StateSpace/StateModels/HierarchicalRegressionHolidayStateModel.cpp:20:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp: In instantiation of ‘void BOOM::MultivariateKalmanFilter<MARGINAL>::ensure_size(int) [with MARGINAL = BOOM::Kalman::ConditionallyIndependentMarginalDistribution]’:
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:227:10: required from here
227 | void ensure_size(int time) override {
| ^~~~~~~~~~~
../inst/include/Models/StateSpace/Filters/MultivariateKalmanFilterBase.hpp:228:27: warning: comparison of integer expressions of different signedness: ‘std::vector<BOOM::Kalman::ConditionallyIndependentMarginalDistribution, std::allocator<BOOM::Kalman::ConditionallyIndependentMarginalDistribution> >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare]
228 | while(nodes_.size() <= time) {
| ~~~~~~~~~~~~~~^~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I. -I../inst/include -IBmath -Imath/cephes -DADD_ -DR_NO_REMAP -DEIGEN_WARNINGS_DISABLED -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Models/StateSpace/StateModels/Holiday.cpp -o Models/StateSpace/StateModels/Holiday.o
Models/StateSpace/StateModels/Holiday.cpp: In constructor ‘BOOM::DateRangeHoliday::DateRangeHoliday(const std::vector<BOOM::Date>&, const std::vector<BOOM::Date>&)’:
Models/StateSpace/StateModels/Holiday.cpp:150:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector<BOOM::Date>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare]
150 | for (int i = 0; i <